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Posted to commits@joshua.apache.org by mj...@apache.org on 2016/06/22 20:56:17 UTC
[1/4] incubator-joshua git commit: ClassLMs: fixed a bug with
class-based lms not mapping to class ids when estimateCost(). Also refactored
the code a little bit to have StateMinimizingLanguageModels support classes
as well. Added some unit tests. The ex
Repository: incubator-joshua
Updated Branches:
refs/heads/master a06a01550 -> 2b5b4dc0d
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/test/resources/lm/class_lm/class.map
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diff --git a/src/test/resources/lm/class_lm/class.map b/src/test/resources/lm/class_lm/class.map
new file mode 100644
index 0000000..e90c7c2
--- /dev/null
+++ b/src/test/resources/lm/class_lm/class.map
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+solid 44
+spectacular 44
+statue 44
+steam 44
+stores 44
+strength 44
+supplied 44
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+table 44
+tag 44
+taxes 44
+temperature 44
+upon 44
+utility 44
+value 44
+vapor 44
+warship 44
+water 44
+wireless 44
+anime 45
+area 45
+areas 45
+beauty 45
+behind 45
+big 45
+bridges 45
+britain 45
+centrally 45
+cities 45
+considerably 45
+defeat 45
+densely 45
+emperors 45
+establishments 45
+families 45
+fast 45
+gained 45
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+great 45
+heavy 45
+houses 45
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+japan 45
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+kings 45
+large 45
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+minority 45
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+peaceful 45
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+terrorism 45
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+very 45
+villages 45
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+alcohol 46
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+argument 46
+attempts 46
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+behavior 46
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+bring 46
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+determination 46
+difference 46
+discussions 46
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+effects 46
+equal 46
+examining 46
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+expenses 46
+explain 46
+explains 46
+exporting 46
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+index 46
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+inflation 46
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+influences 46
+inter 46
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+lasting 46
+lifestyle 46
+limited 46
+logically 46
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+markets 46
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+measure 46
+measurement 46
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+observations 46
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+owners 46
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+wheat 47
+1944 48
+1951 48
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+boxing 48
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+club 48
+co-operation 48
+cricket 48
+cup 48
+dhanmondi 48
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+exercise 48
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+figure 48
+football 48
+game 48
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+ground 48
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+fields 49
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+follow 49
+fulfill 49
+fundamental 49
+gives 49
+helping 49
+how 49
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+included 49
+incomplete 49
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+ingredients 49
+institutions 49
+invaluable 49
+issues 49
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+layers 49
+macroeconomic 49
+maintain 49
+maintaining 49
+management 49
+managerial 49
+manufacture 49
+materials 49
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+variables 49
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+view 49
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/test/resources/lm/class_lm/class_lm_9gram.gz
----------------------------------------------------------------------
diff --git a/src/test/resources/lm/class_lm/class_lm_9gram.gz b/src/test/resources/lm/class_lm/class_lm_9gram.gz
new file mode 100644
index 0000000..6a48db6
Binary files /dev/null and b/src/test/resources/lm/class_lm/class_lm_9gram.gz differ
[3/4] incubator-joshua git commit: ClassLMs: fixed a bug with
class-based lms not mapping to class ids when estimateCost(). Also refactored
the code a little bit to have StateMinimizingLanguageModels support classes
as well. Added some unit tests. The ex
Posted by mj...@apache.org.
ClassLMs: fixed a bug with class-based lms not mapping to class ids when estimateCost(). Also refactored the code a little bit to have StateMinimizingLanguageModels support classes as well. Added some unit tests. The existing regression test output was changed to the new output.
Project: http://git-wip-us.apache.org/repos/asf/incubator-joshua/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-joshua/commit/8fc7544e
Tree: http://git-wip-us.apache.org/repos/asf/incubator-joshua/tree/8fc7544e
Diff: http://git-wip-us.apache.org/repos/asf/incubator-joshua/diff/8fc7544e
Branch: refs/heads/master
Commit: 8fc7544eaaf35f71367b48778eaa1f22772ca390
Parents: 55e88d1
Author: Felix Hieber <fh...@amazon.com>
Authored: Mon Jun 20 11:21:03 2016 +0200
Committer: Felix Hieber <fh...@amazon.com>
Committed: Tue Jun 21 07:54:44 2016 +0200
----------------------------------------------------------------------
.../apache/joshua/decoder/ff/lm/ClassMap.java | 73 +
.../joshua/decoder/ff/lm/LanguageModelFF.java | 146 +-
.../ff/lm/StateMinimizingLanguageModel.java | 125 +-
.../class_lm/ClassBasedLanguageModelTest.java | 71 +
.../decoder/ff/lm/class_lm/ClassMapTest.java | 67 +
.../resources/bn-en/hiero/joshua-classlm.config | 4 +-
.../resources/bn-en/hiero/output-classlm.gold | 1565 +++---
src/test/resources/lm/class_lm/class.map | 5140 ++++++++++++++++++
.../resources/lm/class_lm/class_lm_9gram.gz | Bin 0 -> 12733137 bytes
9 files changed, 6355 insertions(+), 836 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/main/java/org/apache/joshua/decoder/ff/lm/ClassMap.java
----------------------------------------------------------------------
diff --git a/src/main/java/org/apache/joshua/decoder/ff/lm/ClassMap.java b/src/main/java/org/apache/joshua/decoder/ff/lm/ClassMap.java
new file mode 100644
index 0000000..c86d739
--- /dev/null
+++ b/src/main/java/org/apache/joshua/decoder/ff/lm/ClassMap.java
@@ -0,0 +1,73 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.joshua.decoder.ff.lm;
+
+import java.io.IOException;
+
+import org.apache.joshua.corpus.Vocabulary;
+import org.apache.joshua.util.io.LineReader;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.google.common.collect.ImmutableMap;
+
+public class ClassMap {
+
+ private static final Logger LOG = LoggerFactory.getLogger(ClassMap.class);
+
+ private static final int OOV_ID = Vocabulary.getUnknownId();
+ private final ImmutableMap<Integer, Integer> mapping;
+
+ public ClassMap(String file_name) {
+ this.mapping = read(file_name);
+ LOG.info("{} entries read from class map", this.mapping.size());
+ }
+
+ public int getClassID(int wordID) {
+ return this.mapping.getOrDefault(wordID, OOV_ID);
+ }
+
+ public int size() {
+ return mapping.size();
+ }
+
+ /**
+ * Reads a class map from file_name
+ */
+ private static ImmutableMap<Integer, Integer> read(String file_name) {
+ final ImmutableMap.Builder<Integer, Integer> builder = ImmutableMap.builder();
+ int lineno = 0;
+ try {
+ for (String line : new LineReader(file_name, false)) {
+ lineno++;
+ String[] lineComp = line.trim().split("\\s+");
+ try {
+ builder.put(Vocabulary.id(lineComp[0]), Vocabulary.id(lineComp[1]));
+ } catch (java.lang.ArrayIndexOutOfBoundsException e) {
+ LOG.warn("bad vocab line #{} '{}'. skipping!", lineno, line);
+ LOG.warn(e.getMessage(), e);
+ }
+ }
+ } catch (IOException e) {
+ throw new RuntimeException(e);
+ }
+ return builder.build();
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/main/java/org/apache/joshua/decoder/ff/lm/LanguageModelFF.java
----------------------------------------------------------------------
diff --git a/src/main/java/org/apache/joshua/decoder/ff/lm/LanguageModelFF.java b/src/main/java/org/apache/joshua/decoder/ff/lm/LanguageModelFF.java
index 3fea410..9388ed7 100644
--- a/src/main/java/org/apache/joshua/decoder/ff/lm/LanguageModelFF.java
+++ b/src/main/java/org/apache/joshua/decoder/ff/lm/LanguageModelFF.java
@@ -21,12 +21,9 @@ package org.apache.joshua.decoder.ff.lm;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
-import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
-import com.google.common.primitives.Ints;
-
import org.apache.joshua.corpus.Vocabulary;
import org.apache.joshua.decoder.JoshuaConfiguration;
import org.apache.joshua.decoder.Support;
@@ -34,7 +31,6 @@ import org.apache.joshua.decoder.chart_parser.SourcePath;
import org.apache.joshua.decoder.ff.FeatureVector;
import org.apache.joshua.decoder.ff.StatefulFF;
import org.apache.joshua.decoder.ff.lm.berkeley_lm.LMGrammarBerkeley;
-import org.apache.joshua.decoder.ff.lm.KenLM;
import org.apache.joshua.decoder.ff.state_maintenance.DPState;
import org.apache.joshua.decoder.ff.state_maintenance.NgramDPState;
import org.apache.joshua.decoder.ff.tm.Rule;
@@ -44,6 +40,9 @@ import org.apache.joshua.util.FormatUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
+import com.google.common.annotations.VisibleForTesting;
+import com.google.common.primitives.Ints;
+
/**
* This class performs the following:
* <ol>
@@ -52,21 +51,21 @@ import org.slf4j.LoggerFactory;
* <li>Gets the LM state</li>
* <li>Gets the left-side LM state estimation score</li>
* </ol>
- *
+ *
* @author Matt Post post@cs.jhu.edu
* @author Juri Ganitkevitch juri@cs.jhu.edu
* @author Zhifei Li, zhifei.work@gmail.com
*/
public class LanguageModelFF extends StatefulFF {
- private static final Logger LOG = LoggerFactory.getLogger(LanguageModelFF.class);
+ static final Logger LOG = LoggerFactory.getLogger(LanguageModelFF.class);
public static int LM_INDEX = 0;
private int startSymbolId;
/**
* N-gram language model. We assume the language model is in ARPA format for equivalent state:
- *
+ *
* <ol>
* <li>We assume it is a backoff lm, and high-order ngram implies low-order ngram; absense of
* low-order ngram implies high-order ngram</li>
@@ -94,61 +93,20 @@ public class LanguageModelFF extends StatefulFF {
protected String path;
/* Whether this is a class-based LM */
- private boolean isClassLM;
+ protected boolean isClassLM;
private ClassMap classMap;
- protected class ClassMap {
-
- private final int OOV_id = Vocabulary.getUnknownId();
- private HashMap<Integer, Integer> classMap;
-
- public ClassMap(String file_name) throws IOException {
- this.classMap = new HashMap<Integer, Integer>();
- read(file_name);
- }
-
- public int getClassID(int wordID) {
- return this.classMap.getOrDefault(wordID, OOV_id);
- }
-
- /**
- * Reads a class map from file.
- *
- * @param file_name
- * @throws IOException
- */
- private void read(String file_name) throws IOException {
-
- int lineno = 0;
- for (String line: new org.apache.joshua.util.io.LineReader(file_name, false)) {
- lineno++;
- String[] lineComp = line.trim().split("\\s+");
- try {
- this.classMap.put(Vocabulary.id(lineComp[0]), Vocabulary.id(lineComp[1]));
- } catch (java.lang.ArrayIndexOutOfBoundsException e) {
- LOG.warn("bad vocab line #{} '{}'", lineno, line);
- LOG.warn(e.getMessage(), e);
- }
- }
- }
-
- }
-
public LanguageModelFF(FeatureVector weights, String[] args, JoshuaConfiguration config) {
super(weights, String.format("lm_%d", LanguageModelFF.LM_INDEX++), args, config);
this.type = parsedArgs.get("lm_type");
- this.ngramOrder = Integer.parseInt(parsedArgs.get("lm_order"));
+ this.ngramOrder = Integer.parseInt(parsedArgs.get("lm_order"));
this.path = parsedArgs.get("lm_file");
- if (parsedArgs.containsKey("class_map"))
- try {
- this.isClassLM = true;
- this.classMap = new ClassMap(parsedArgs.get("class_map"));
- } catch (IOException e) {
- // TODO Auto-generated catch block
- e.printStackTrace();
- }
+ if (parsedArgs.containsKey("class_map")) {
+ this.isClassLM = true;
+ this.classMap = new ClassMap(parsedArgs.get("class_map"));
+ }
// The dense feature initialization hasn't happened yet, so we have to retrieve this as sparse
this.weight = weights.getSparse(name);
@@ -160,7 +118,7 @@ public class LanguageModelFF extends StatefulFF {
public ArrayList<String> reportDenseFeatures(int index) {
denseFeatureIndex = index;
- ArrayList<String> names = new ArrayList<String>();
+ final ArrayList<String> names = new ArrayList<String>(1);
names.add(name);
return names;
}
@@ -191,42 +149,52 @@ public class LanguageModelFF extends StatefulFF {
return this.languageModel;
}
+ public boolean isClassLM() {
+ return this.isClassLM;
+ }
+
public String logString() {
- if (languageModel != null)
- return String.format("%s, order %d (weight %.3f)", name, languageModel.getOrder(), weight);
- else
- return "WHOA";
+ return String.format("%s, order %d (weight %.3f), classLm=%s", name, languageModel.getOrder(), weight, isClassLM);
}
/**
- * Computes the features incurred along this edge. Note that these features are unweighted costs
- * of the feature; they are the feature cost, not the model cost, or the inner product of them.
+ * Computes the features incurred along this edge. Note that these features
+ * are unweighted costs of the feature; they are the feature cost, not the
+ * model cost, or the inner product of them.
*/
@Override
- public DPState compute(Rule rule, List<HGNode> tailNodes, int i, int j, SourcePath sourcePath,
- Sentence sentence, Accumulator acc) {
-
- NgramDPState newState = null;
- if (rule != null) {
- if (config.source_annotations) {
- // Get source side annotations and project them to the target side
- newState = computeTransition(getTags(rule, i, j, sentence), tailNodes, acc);
- }
- else {
- if (this.isClassLM) {
- // Use a class language model
- // Return target side classes
- newState = computeTransition(getClasses(rule), tailNodes, acc);
- }
- else {
- // Default LM
- newState = computeTransition(rule.getEnglish(), tailNodes, acc);
- }
- }
+ public DPState compute(Rule rule, List<HGNode> tailNodes, int i, int j,
+ SourcePath sourcePath, Sentence sentence, Accumulator acc) {
+ if (rule == null) {
+ return null;
}
- return newState;
+ int[] words;
+ if (config.source_annotations) {
+ // get source side annotations and project them to the target side
+ words = getTags(rule, i, j, sentence);
+ } else {
+ words = getRuleIds(rule);
+ }
+
+ return computeTransition(words, tailNodes, acc);
+
+ }
+
+ /**
+ * Retrieve ids from rule. These are either simply the rule ids on the target
+ * side, their corresponding class map ids, or the configured source-side
+ * annotation tags.
+ */
+ @VisibleForTesting
+ public int[] getRuleIds(final Rule rule) {
+ if (this.isClassLM) {
+ // map words to class ids
+ return getClasses(rule);
+ }
+ // Regular LM: use rule word ids
+ return rule.getEnglish();
}
/**
@@ -256,7 +224,7 @@ public class LanguageModelFF extends StatefulFF {
if (alignments[j] == i) {
String annotation = sentence.getAnnotation((int)alignments[i] + begin, "class");
if (annotation != null) {
- // System.err.println(String.format(" word %d source %d abs %d annotation %d/%s",
+ // System.err.println(String.format(" word %d source %d abs %d annotation %d/%s",
// i, alignments[i], alignments[i] + begin, annotation, Vocabulary.word(annotation)));
tokens[i] = Vocabulary.id(annotation);
break;
@@ -270,8 +238,8 @@ public class LanguageModelFF extends StatefulFF {
return tokens;
}
- /**
- * Sets the class map if this is a class LM
+ /**
+ * Sets the class map if this is a class LM
* @param fileName a string path to a file
* @throws IOException if there is an error reading the input file
*/
@@ -314,7 +282,7 @@ public class LanguageModelFF extends StatefulFF {
float estimate = 0.0f;
boolean considerIncompleteNgrams = true;
- int[] enWords = rule.getEnglish();
+ int[] enWords = getRuleIds(rule);
List<Integer> words = new ArrayList<Integer>();
boolean skipStart = (enWords[0] == startSymbolId);
@@ -366,7 +334,7 @@ public class LanguageModelFF extends StatefulFF {
* terminal words in the rule string are preceded by a nonterminal (c) we encounter adjacent
* nonterminals. In all of these situations, the corresponding boundary words of the node in the
* hypergraph represented by the nonterminal must be retrieved.
- *
+ *
* IMPORTANT: only complete n-grams are scored. This means that hypotheses with fewer words
* than the complete n-gram state remain *unscored*. This fact adds a lot of complication to the
* code, including the use of the computeFinal* family of functions, which correct this fact for
@@ -445,7 +413,7 @@ public class LanguageModelFF extends StatefulFF {
* This function differs from regular transitions because we incorporate the cost of incomplete
* left-hand ngrams, as well as including the start- and end-of-sentence markers (if they were
* requested when the object was created).
- *
+ *
* @param state the dynamic programming state
* @return the final transition probability (including incomplete n-grams)
*/
@@ -492,7 +460,7 @@ public class LanguageModelFF extends StatefulFF {
* This function is basically a wrapper for NGramLanguageModel::sentenceLogProbability(). It
* computes the probability of a phrase ("chunk"), using lower-order n-grams for the first n-1
* words.
- *
+ *
* @param words
* @param considerIncompleteNgrams
* @param skipStart
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/main/java/org/apache/joshua/decoder/ff/lm/StateMinimizingLanguageModel.java
----------------------------------------------------------------------
diff --git a/src/main/java/org/apache/joshua/decoder/ff/lm/StateMinimizingLanguageModel.java b/src/main/java/org/apache/joshua/decoder/ff/lm/StateMinimizingLanguageModel.java
index 533365c..88dc647 100644
--- a/src/main/java/org/apache/joshua/decoder/ff/lm/StateMinimizingLanguageModel.java
+++ b/src/main/java/org/apache/joshua/decoder/ff/lm/StateMinimizingLanguageModel.java
@@ -18,7 +18,8 @@
*/
package org.apache.joshua.decoder.ff.lm;
-import java.util.ArrayList;
+import static org.apache.joshua.util.FormatUtils.isNonterminal;
+
import java.util.List;
import java.util.concurrent.ConcurrentHashMap;
@@ -26,18 +27,16 @@ import org.apache.joshua.corpus.Vocabulary;
import org.apache.joshua.decoder.JoshuaConfiguration;
import org.apache.joshua.decoder.chart_parser.SourcePath;
import org.apache.joshua.decoder.ff.FeatureVector;
-import org.apache.joshua.decoder.ff.lm.KenLM;
import org.apache.joshua.decoder.ff.lm.KenLM.StateProbPair;
import org.apache.joshua.decoder.ff.state_maintenance.DPState;
import org.apache.joshua.decoder.ff.state_maintenance.KenLMState;
import org.apache.joshua.decoder.ff.tm.Rule;
import org.apache.joshua.decoder.hypergraph.HGNode;
import org.apache.joshua.decoder.segment_file.Sentence;
-import org.apache.joshua.util.FormatUtils;
/**
* Wrapper for KenLM LMs with left-state minimization. We inherit from the regular
- *
+ *
* @author Matt Post post@cs.jhu.edu
* @author Juri Ganitkevitch juri@cs.jhu.edu
*/
@@ -55,61 +54,37 @@ public class StateMinimizingLanguageModel extends LanguageModelFF {
throw new RuntimeException(msg);
}
}
-
- @Override
- public ArrayList<String> reportDenseFeatures(int index) {
- denseFeatureIndex = index;
-
- ArrayList<String> names = new ArrayList<String>();
- names.add(name);
- return names;
- }
/**
* Initializes the underlying language model.
*/
@Override
public void initializeLM() {
-
+
// Override type (only KenLM supports left-state minimization)
this.languageModel = new KenLM(ngramOrder, path);
Vocabulary.registerLanguageModel(this.languageModel);
Vocabulary.id(config.default_non_terminal);
-
+
}
-
+
/**
- * Estimates the cost of a rule. We override here since KenLM can do it more efficiently
- * than the default {@link LanguageModelFF} class.
- *
- * Most of this function implementation is redundant with compute().
+ * Estimates the cost of a rule. We override here since KenLM can do it more
+ * efficiently than the default {@link LanguageModelFF} class.
*/
@Override
public float estimateCost(Rule rule, Sentence sentence) {
-
- int[] ruleWords = rule.getEnglish();
-
- // The IDs we'll pass to KenLM
- long[] words = new long[ruleWords.length];
- for (int x = 0; x < ruleWords.length; x++) {
- int id = ruleWords[x];
+ int[] ruleWords = getRuleIds(rule);
- if (FormatUtils.isNonterminal(id)) {
- // For the estimate, we can just mark negative values
- words[x] = -1;
+ // map to ken lm ids
+ final long[] words = mapToKenLmIds(ruleWords, null, true);
- } else {
- // Terminal: just add it
- words[x] = id;
- }
- }
-
// Get the probability of applying the rule and the new state
return weight * ((KenLM) languageModel).estimateRule(words);
}
-
+
/**
* Computes the features incurred along this edge. Note that these features are unweighted costs
* of the feature; they are the feature cost, not the model cost, or the inner product of them.
@@ -118,39 +93,31 @@ public class StateMinimizingLanguageModel extends LanguageModelFF {
public DPState compute(Rule rule, List<HGNode> tailNodes, int i, int j, SourcePath sourcePath,
Sentence sentence, Accumulator acc) {
- int[] ruleWords = config.source_annotations
- ? getTags(rule, i, j, sentence)
- : rule.getEnglish();
-
- // The IDs we'll pass to KenLM
- long[] words = new long[ruleWords.length];
+ if (rule == null ) {
+ return null;
+ }
- for (int x = 0; x < ruleWords.length; x++) {
- int id = ruleWords[x];
+ int[] ruleWords;
+ if (config.source_annotations) {
+ // get source side annotations and project them to the target side
+ ruleWords = getTags(rule, i, j, sentence);
+ } else {
+ ruleWords = getRuleIds(rule);
+ }
- if (FormatUtils.isNonterminal(id)) {
- // Nonterminal: retrieve the KenLM long that records the state
- int index = -(id + 1);
- KenLMState state = (KenLMState) tailNodes.get(index).getDPState(stateIndex);
- words[x] = -state.getState();
+ // map to ken lm ids
+ final long[] words = mapToKenLmIds(ruleWords, tailNodes, false);
- } else {
- // Terminal: just add it
- words[x] = id;
- }
- }
-
- int sentID = sentence.id();
+ final int sentID = sentence.id();
// Since sentId is unique across threads, next operations are safe, but not atomic!
if (!poolMap.containsKey(sentID)) {
poolMap.put(sentID, KenLM.createPool());
}
// Get the probability of applying the rule and the new state
- StateProbPair pair = ((KenLM) languageModel).probRule(words, poolMap.get(sentID));
+ final StateProbPair pair = ((KenLM) languageModel).probRule(words, poolMap.get(sentID));
// Record the prob
-// acc.add(name, pair.prob);
acc.add(denseFeatureIndex, pair.prob);
// Return the state
@@ -158,10 +125,40 @@ public class StateMinimizingLanguageModel extends LanguageModelFF {
}
/**
+ * Maps given array of word/class ids to KenLM ids. For estimating cost and computing,
+ * state retrieval differs slightly.
+ */
+ private long[] mapToKenLmIds(int[] ids, List<HGNode> tailNodes, boolean isOnlyEstimate) {
+ // The IDs we will to KenLM
+ long[] kenIds = new long[ids.length];
+ for (int x = 0; x < ids.length; x++) {
+ int id = ids[x];
+
+ if (isNonterminal(id)) {
+
+ if (isOnlyEstimate) {
+ // For the estimate, we can just mark negative values
+ kenIds[x] = -1;
+ } else {
+ // Nonterminal: retrieve the KenLM long that records the state
+ int index = -(id + 1);
+ final KenLMState state = (KenLMState) tailNodes.get(index).getDPState(stateIndex);
+ kenIds[x] = -state.getState();
+ }
+
+ } else {
+ // Terminal: just add it
+ kenIds[x] = id;
+ }
+ }
+ return kenIds;
+ }
+
+ /**
* Destroys the pool created to allocate state for this sentence. Called from the
* {@link org.apache.joshua.decoder.Translation} class after outputting the sentence or k-best list. Hosting
* this map here in KenLMFF statically allows pools to be shared across KenLM instances.
- *
+ *
* @param sentId a key in the poolmap table to destroy
*/
public void destroyPool(int sentId) {
@@ -174,19 +171,13 @@ public class StateMinimizingLanguageModel extends LanguageModelFF {
* This function differs from regular transitions because we incorporate the cost of incomplete
* left-hand ngrams, as well as including the start- and end-of-sentence markers (if they were
* requested when the object was created).
- *
+ *
* KenLM already includes the prefix probabilities (of shorter n-grams on the left-hand side), so
* there's nothing that needs to be done.
*/
@Override
public DPState computeFinal(HGNode tailNode, int i, int j, SourcePath sourcePath, Sentence sentence,
Accumulator acc) {
-
- // KenLMState state = (KenLMState) tailNode.getDPState(getStateIndex());
-
- // This is unnecessary
- // acc.add(name, 0.0f);
-
// The state is the same since no rule was applied
return new KenLMState();
}
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassBasedLanguageModelTest.java
----------------------------------------------------------------------
diff --git a/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassBasedLanguageModelTest.java b/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassBasedLanguageModelTest.java
new file mode 100644
index 0000000..7207d80
--- /dev/null
+++ b/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassBasedLanguageModelTest.java
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.joshua.decoder.ff.lm.class_lm;
+
+import static org.testng.Assert.assertEquals;
+import static org.testng.Assert.assertTrue;
+
+import org.apache.joshua.corpus.Vocabulary;
+import org.apache.joshua.decoder.Decoder;
+import org.apache.joshua.decoder.JoshuaConfiguration;
+import org.apache.joshua.decoder.ff.FeatureVector;
+import org.apache.joshua.decoder.ff.lm.LanguageModelFF;
+import org.apache.joshua.decoder.ff.tm.Rule;
+import org.testng.annotations.AfterMethod;
+import org.testng.annotations.BeforeMethod;
+import org.testng.annotations.Test;
+
+public class ClassBasedLanguageModelTest {
+
+ private static final float WEIGHT = 0.5f;
+
+ private LanguageModelFF ff;
+
+ @BeforeMethod
+ public void setUp() {
+ Decoder.resetGlobalState();
+
+ FeatureVector weights = new FeatureVector();
+ weights.set("lm_0", WEIGHT);
+ String[] args = { "-lm_type", "kenlm", "-lm_order", "9",
+ "-lm_file", "./src/test/resources/lm/class_lm/class_lm_9gram.gz",
+ "-class_map", "./src/test/resources/lm/class_lm/class.map" };
+
+ JoshuaConfiguration config = new JoshuaConfiguration();
+ ff = new LanguageModelFF(weights, args, config);
+ }
+
+ @AfterMethod
+ public void tearDown() {
+ Decoder.resetGlobalState();
+ }
+
+ @Test
+ public void givenLmDefinition_whenInitialized_thenInitializationIsCorrect() {
+ assertTrue(ff.isClassLM());
+ assertTrue(ff.isStateful());
+ }
+
+ @Test
+ public void givenRuleWithSingleWord_whenGetRuleId_thenIsMappedToClass() {
+ final int[] target = Vocabulary.addAll(new String[] { "professionalism" });
+ final Rule rule = new Rule(0, null, target, "", 0, 0);
+ assertEquals(Vocabulary.word(ff.getRuleIds(rule)[0]), "13");
+ }
+}
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassMapTest.java
----------------------------------------------------------------------
diff --git a/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassMapTest.java b/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassMapTest.java
new file mode 100644
index 0000000..5d37a05
--- /dev/null
+++ b/src/test/java/org/apache/joshua/decoder/ff/lm/class_lm/ClassMapTest.java
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.joshua.decoder.ff.lm.class_lm;
+
+import static org.testng.Assert.assertEquals;
+
+import org.apache.joshua.corpus.Vocabulary;
+import org.apache.joshua.decoder.Decoder;
+import org.apache.joshua.decoder.ff.lm.ClassMap;
+import org.testng.annotations.AfterMethod;
+import org.testng.annotations.BeforeMethod;
+import org.testng.annotations.Test;
+
+
+public class ClassMapTest {
+
+ private static final int EXPECTED_CLASS_MAP_SIZE = 5140;
+
+ @BeforeMethod
+ public void setUp() {
+ Decoder.resetGlobalState();
+ }
+
+ @AfterMethod
+ public void tearDown() {
+ Decoder.resetGlobalState();
+ }
+
+ @Test
+ public void givenClassMapFile_whenClassMapRead_thenEntriesAreRead() {
+ // GIVEN
+ final String classMapFile = "./src/test/resources/lm/class_lm/class.map";
+
+ // WHEN
+ final ClassMap classMap = new ClassMap(classMapFile);
+
+ // THEN
+ assertEquals(classMap.size(), EXPECTED_CLASS_MAP_SIZE);
+ assertEquals(
+ Vocabulary.word(
+ classMap.getClassID(
+ Vocabulary.id("professionalism"))),
+ "13");
+ assertEquals(
+ Vocabulary.word(
+ classMap.getClassID(
+ Vocabulary.id("convenience"))),
+ "0");
+ }
+
+}
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/test/resources/bn-en/hiero/joshua-classlm.config
----------------------------------------------------------------------
diff --git a/src/test/resources/bn-en/hiero/joshua-classlm.config b/src/test/resources/bn-en/hiero/joshua-classlm.config
index 970b9b7..3be7392 100644
--- a/src/test/resources/bn-en/hiero/joshua-classlm.config
+++ b/src/test/resources/bn-en/hiero/joshua-classlm.config
@@ -1,7 +1,7 @@
-feature-function = LanguageModel -lm_type kenlm -lm_order 5 -minimizing false -lm_file lm.gz
+feature-function = StateMinimizingLanguageModel -lm_type kenlm -lm_order 5 -lm_file lm.gz
# Class LM feature
-feature-function = LanguageModel -lm_type kenlm -lm_order 9 -minimizing false -lm_file class_lm_9gram.gz -lm_class -class_map class.map
+feature-function = StateMinimizingLanguageModel -lm_type kenlm -lm_order 9 -lm_file class_lm_9gram.gz -class_map class.map
###### Old format for lms
# lm = kenlm 5 false false 100 lm.gz
[2/4] incubator-joshua git commit: ClassLMs: fixed a bug with
class-based lms not mapping to class ids when estimateCost(). Also refactored
the code a little bit to have StateMinimizingLanguageModels support classes
as well. Added some unit tests. The ex
Posted by mj...@apache.org.
http://git-wip-us.apache.org/repos/asf/incubator-joshua/blob/8fc7544e/src/test/resources/bn-en/hiero/output-classlm.gold
----------------------------------------------------------------------
diff --git a/src/test/resources/bn-en/hiero/output-classlm.gold b/src/test/resources/bn-en/hiero/output-classlm.gold
index 066773e..001206c 100644
--- a/src/test/resources/bn-en/hiero/output-classlm.gold
+++ b/src/test/resources/bn-en/hiero/output-classlm.gold
@@ -1,678 +1,887 @@
-0 ||| rabindranath was born in a \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 in the family ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-30.409 tm_pt_6=-15.712 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.135 tm_pt_10=-14.979 tm_pt_11=0.000 tm_pt_12=-7.729 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-23.712 lm_1=-22.418 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -254.042
-0 ||| rabindranath was born in one \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 in the family ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-29.639 tm_pt_6=-16.710 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.135 tm_pt_10=-13.438 tm_pt_11=0.000 tm_pt_12=-8.350 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-25.676 lm_1=-23.515 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -257.842
-0 ||| rabindranath born in the a \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 in the family ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-32.737 tm_pt_6=-16.092 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-12.188 tm_pt_11=0.000 tm_pt_12=-3.876 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-26.980 lm_1=-24.179 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -258.306
-0 ||| rabindranath born in kolkata a \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 in the family ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-29.029 tm_pt_6=-16.002 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-10.090 tm_pt_11=0.000 tm_pt_12=-4.282 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-27.803 lm_1=-24.299 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -258.333
-0 ||| rabindranath born in the one \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 in the family ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-31.967 tm_pt_6=-17.090 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-10.415 tm_pt_11=0.000 tm_pt_12=-4.100 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-27.320 lm_1=-24.209 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -259.542
-0 ||| rabindranath born in kolkata one \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 in the family ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-28.259 tm_pt_6=-16.999 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-8.317 tm_pt_11=0.000 tm_pt_12=-4.505 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-28.555 lm_1=-24.206 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -259.925
-0 ||| rabindranath was born in a \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 \u09aa\u09b0\u09bf\u09ac\u09be\u09b0\u09c7 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-12.867 tm_pt_6=-7.153 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-0.135 tm_pt_10=-14.988 tm_pt_11=0.000 tm_pt_12=-7.732 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-23.574 lm_1=-22.046 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -347.574
-0 ||| rabindranath was born in one \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 \u09aa\u09b0\u09bf\u09ac\u09be\u09b0\u09c7 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-12.097 tm_pt_6=-8.150 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-0.135 tm_pt_10=-13.447 tm_pt_11=0.000 tm_pt_12=-8.353 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-25.537 lm_1=-23.143 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -351.374
-0 ||| rabindranath born in the a \u09aa\u09bf\u09b0\u09be\u09b2\u09c0 \u09ac\u09cd\u09b0\u09be\u09b9\u09cd\u09ae\u09a3 \u09aa\u09b0\u09bf\u09ac\u09be\u09b0\u09c7 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-15.195 tm_pt_6=-7.533 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-1.000 tm_pt_10=-12.198 tm_pt_11=0.000 tm_pt_12=-3.880 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-26.841 lm_1=-23.807 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -351.838
-1 ||| recently with the united states relation improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-18.913 tm_pt_6=-15.946 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.743 tm_pt_10=-14.886 tm_pt_11=0.000 tm_pt_12=-6.633 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-18.873 lm_1=-15.933 WordPenalty=-4.343 OOVPenalty=0.000 ||| -43.205
-1 ||| recently with the united states matters improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-20.258 tm_pt_6=-17.332 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.743 tm_pt_10=-14.678 tm_pt_11=0.000 tm_pt_12=-6.633 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-18.768 lm_1=-15.680 WordPenalty=-4.343 OOVPenalty=0.000 ||| -43.440
-1 ||| recently india with united states relation improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-15.661 tm_pt_6=-15.849 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.742 tm_pt_10=-10.885 tm_pt_11=0.000 tm_pt_12=-4.412 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-21.491 lm_1=-16.859 WordPenalty=-4.343 OOVPenalty=0.000 ||| -44.146
-1 ||| recently with the united states relation between improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-23.251 tm_pt_6=-15.828 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.743 tm_pt_10=-13.722 tm_pt_11=0.000 tm_pt_12=-6.633 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-19.500 lm_1=-17.313 WordPenalty=-4.777 OOVPenalty=0.000 ||| -44.244
-1 ||| recently india with united states matters improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-17.007 tm_pt_6=-17.235 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.742 tm_pt_10=-10.677 tm_pt_11=0.000 tm_pt_12=-4.412 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-21.386 lm_1=-16.606 WordPenalty=-4.343 OOVPenalty=0.000 ||| -44.381
-1 ||| recently with the united states relationship between improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-22.357 tm_pt_6=-15.386 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.743 tm_pt_10=-12.806 tm_pt_11=0.000 tm_pt_12=-6.633 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-19.559 lm_1=-17.901 WordPenalty=-4.777 OOVPenalty=0.000 ||| -44.484
-1 ||| recently with united states with the relationship between improved . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-25.015 tm_pt_6=-15.386 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.742 tm_pt_10=-3.975 tm_pt_11=0.000 tm_pt_12=-2.234 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-21.908 lm_1=-18.571 WordPenalty=-5.212 OOVPenalty=0.000 ||| -44.540
-2 ||| mathematics so science language . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-4.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-6.483 tm_pt_6=-3.387 tm_pt_7=-4.000 tm_pt_8=-10.872 tm_pt_9=-0.002 tm_pt_10=-3.378 tm_pt_11=0.000 tm_pt_12=-1.626 tm_pt_13=0.000 tm_pt_14=-5.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=4.000 lm_0=-15.141 lm_1=-10.511 WordPenalty=-3.040 OOVPenalty=0.000 ||| -23.476
-2 ||| mathematics is science language . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-4.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-10.375 tm_pt_6=-3.926 tm_pt_7=-4.000 tm_pt_8=-10.872 tm_pt_9=-0.052 tm_pt_10=-8.326 tm_pt_11=0.000 tm_pt_12=-3.330 tm_pt_13=0.000 tm_pt_14=-5.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=4.000 lm_0=-12.890 lm_1=-10.773 WordPenalty=-3.040 OOVPenalty=0.000 ||| -23.873
-2 ||| mathematics that science language . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-4.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-9.625 tm_pt_6=-3.926 tm_pt_7=-4.000 tm_pt_8=-10.872 tm_pt_9=-0.052 tm_pt_10=-7.607 tm_pt_11=0.000 tm_pt_12=-3.330 tm_pt_13=0.000 tm_pt_14=-5.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=4.000 lm_0=-14.001 lm_1=-10.511 WordPenalty=-3.040 OOVPenalty=0.000 ||| -24.593
-2 ||| science mathematics that language . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-4.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-9.625 tm_pt_6=-3.926 tm_pt_7=-4.000 tm_pt_8=-10.872 tm_pt_9=-0.138 tm_pt_10=-2.832 tm_pt_11=0.000 tm_pt_12=-1.486 tm_pt_13=0.000 tm_pt_14=-5.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-14.271 lm_1=-10.297 WordPenalty=-3.040 OOVPenalty=0.000 ||| -24.806
-3 ||| from this it will be understood that the \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-20.366 tm_pt_6=-14.416 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.389 tm_pt_10=-6.943 tm_pt_11=0.000 tm_pt_12=-4.457 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-28.474 lm_1=-26.724 WordPenalty=-6.080 OOVPenalty=-300.000 ||| -358.253
-3 ||| from this it will be understood that this \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-17.030 tm_pt_6=-13.124 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-1.386 tm_pt_10=-8.291 tm_pt_11=0.000 tm_pt_12=-4.208 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-28.974 lm_1=-26.750 WordPenalty=-6.080 OOVPenalty=-300.000 ||| -359.239
-3 ||| from this it will be it can be understood that the \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-28.998 tm_pt_6=-11.009 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.389 tm_pt_10=-5.844 tm_pt_11=0.000 tm_pt_12=-4.457 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-31.634 lm_1=-28.993 WordPenalty=-7.383 OOVPenalty=-300.000 ||| -359.373
-3 ||| from this it can be it will be that the \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-27.558 tm_pt_6=-10.958 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-1.407 tm_pt_10=-14.576 tm_pt_11=0.000 tm_pt_12=-5.598 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-31.727 lm_1=-26.439 WordPenalty=-6.949 OOVPenalty=-300.000 ||| -360.806
-3 ||| from this it can be it will be that this \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-24.223 tm_pt_6=-9.666 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.389 tm_pt_10=-14.553 tm_pt_11=0.000 tm_pt_12=-5.139 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-32.227 lm_1=-26.088 WordPenalty=-6.949 OOVPenalty=-300.000 ||| -360.882
-3 ||| from this it will it can be understood that the \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-26.563 tm_pt_6=-11.056 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.524 tm_pt_10=-5.333 tm_pt_11=0.000 tm_pt_12=-5.479 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=4.000 lm_0=-31.565 lm_1=-28.432 WordPenalty=-6.949 OOVPenalty=-300.000 ||| -361.417
-3 ||| from this it can be it that this will \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995\u099f\u09bf \u098f\u09ab\u0986\u09b0\u09a1\u09ac\u09cd\u09b2\u09bf\u0989 \u09ae\u09c7\u099f\u09cd\u09b0\u09bf\u0995 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-21.787 tm_pt_6=-9.713 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.524 tm_pt_10=-14.418 tm_pt_11=0.000 tm_pt_12=-6.372 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-32.769 lm_1=-25.204 WordPenalty=-6.514 OOVPenalty=-300.000 ||| -361.526
-4 ||| same with the earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 indication match from this novel . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-16.212 tm_pt_6=-10.084 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.005 tm_pt_10=-12.338 tm_pt_11=0.000 tm_pt_12=-5.018 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-39.641 lm_1=-31.966 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -277.519
-4 ||| same with the earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 presage match from this novel . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-15.113 tm_pt_6=-10.084 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.005 tm_pt_10=-12.338 tm_pt_11=0.000 tm_pt_12=-5.018 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-39.916 lm_1=-31.966 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -277.649
-4 ||| same with the earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 indication match from this novels . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-15.164 tm_pt_6=-9.637 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.005 tm_pt_10=-11.182 tm_pt_11=0.000 tm_pt_12=-4.651 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-41.798 lm_1=-31.966 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -279.404
-4 ||| same with the earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 presage match from this novels . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-14.066 tm_pt_6=-9.637 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.005 tm_pt_10=-11.182 tm_pt_11=0.000 tm_pt_12=-4.651 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-42.073 lm_1=-31.966 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -279.534
-4 ||| with the same earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 indication match from this novel . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-16.212 tm_pt_6=-10.084 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.373 tm_pt_10=-14.188 tm_pt_11=0.000 tm_pt_12=-7.809 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-37.796 lm_1=-32.110 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -280.076
-4 ||| with the same earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 presage match from this novel . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-15.113 tm_pt_6=-10.084 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.373 tm_pt_10=-14.188 tm_pt_11=0.000 tm_pt_12=-7.809 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-38.071 lm_1=-32.110 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -280.206
-4 ||| the with the earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 indication match from this novel . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-20.640 tm_pt_6=-9.983 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.024 tm_pt_10=-18.514 tm_pt_11=0.000 tm_pt_12=-6.668 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-37.546 lm_1=-32.463 WordPenalty=-6.080 OOVPenalty=-200.000 ||| -280.483
-4 ||| the same with the earthcentered \u09b8\u09be\u09ae\u09a8\u09cd\u09a4\u09a4\u09a8\u09cd\u09a4\u09cd\u09b0\u09c7\u09b0 \u09aa\u09a4\u09a8\u09c7\u09b0 indication match from this novel . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-21.437 tm_pt_6=-10.032 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-3.005 tm_pt_10=-12.086 tm_pt_11=0.000 tm_pt_12=-4.843 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-39.669 lm_1=-33.675 WordPenalty=-6.514 OOVPenalty=-200.000 ||| -280.518
-5 ||| \u09a8\u09bf\u09b0\u09cd\u09ac\u099a\u09a8\u09c7 mujib and his party \u09a8\u09bf\u09b0\u0999\u09cd\u0995\u09c1\u09b7 majority in the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-16.310 tm_pt_6=-6.695 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-0.289 tm_pt_10=-10.344 tm_pt_11=0.000 tm_pt_12=-2.428 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-25.263 lm_1=-22.356 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -245.557
-5 ||| \u09a8\u09bf\u09b0\u09cd\u09ac\u099a\u09a8\u09c7 mujib and his party \u09a8\u09bf\u09b0\u0999\u09cd\u0995\u09c1\u09b7 majority that the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-16.018 tm_pt_6=-7.571 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.271 tm_pt_10=-5.619 tm_pt_11=0.000 tm_pt_12=-1.161 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-27.702 lm_1=-22.018 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -247.342
-5 ||| \u09a8\u09bf\u09b0\u09cd\u09ac\u099a\u09a8\u09c7 mujib and his party \u09a8\u09bf\u09b0\u0999\u09cd\u0995\u09c1\u09b7 majority in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-13.102 tm_pt_6=-8.482 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-0.289 tm_pt_10=-14.216 tm_pt_11=0.000 tm_pt_12=-2.256 tm_pt_13=0.000 tm_pt_14=-7.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-25.124 lm_1=-21.005 WordPenalty=-4.777 OOVPenalty=-200.000 ||| -247.913
-5 ||| mujib and his party \u09a8\u09bf\u09b0\u09cd\u09ac\u099a\u09a8\u09c7 \u09a8\u09bf\u09b0\u0999\u09cd\u0995\u09c1\u09b7 majority in the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-16.310 tm_pt_6=-6.695 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-0.657 tm_pt_10=-10.233 tm_pt_11=0.000 tm_pt_12=-5.719 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-24.288 lm_1=-22.355 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -249.681
-5 ||| \u09a8\u09bf\u09b0\u09cd\u09ac\u099a\u09a8\u09c7 mujib and his party \u09a8\u09bf\u09b0\u0999\u09cd\u0995\u09c1\u09b7 . majority in the ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-16.310 tm_pt_6=-6.695 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-0.370 tm_pt_10=-9.011 tm_pt_11=0.000 tm_pt_12=-4.591 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-28.212 lm_1=-20.384 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -250.181
-5 ||| \u09a8\u09bf\u09b0\u09cd\u09ac\u099a\u09a8\u09c7 mujib and his party \u09a8\u09bf\u09b0\u0999\u09cd\u0995\u09c1\u09b7 the . majority in ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-16.310 tm_pt_6=-6.695 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.271 tm_pt_10=-2.153 tm_pt_11=0.000 tm_pt_12=-0.468 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-30.418 lm_1=-22.020 WordPenalty=-5.212 OOVPenalty=-200.000 ||| -251.282
-6 ||| \u09b9\u09bf\u099f\u09b2\u09be\u09b0\u0993 \u09ac\u09be\u09ad\u09be\u09b0\u09bf\u09af\u09bc\u09be\u09b0 \u09ae\u09bf\u0989\u09a8\u09bf\u0996 \u09b6\u09b9\u09b0\u09c7\u0987 his work with to that . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-22.509 tm_pt_6=-11.163 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.370 tm_pt_10=-18.845 tm_pt_11=0.000 tm_pt_12=-2.681 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-33.425 lm_1=-25.130 WordPenalty=-5.212 OOVPenalty=-400.000 ||| -463.452
-6 ||| \u09b9\u09bf\u099f\u09b2\u09be\u09b0\u0993 \u09ac\u09be\u09ad\u09be\u09b0\u09bf\u09af\u09bc\u09be\u09b0 \u09ae\u09bf\u0989\u09a8\u09bf\u0996 \u09b6\u09b9\u09b0\u09c7\u0987 his work with a that . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-24.229 tm_pt_6=-13.109 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.418 tm_pt_10=-18.986 tm_pt_11=0.000 tm_pt_12=-2.612 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-33.108 lm_1=-25.595 WordPenalty=-5.212 OOVPenalty=-400.000 ||| -465.645
-6 ||| \u09b9\u09bf\u099f\u09b2\u09be\u09b0\u0993 \u09ac\u09be\u09ad\u09be\u09b0\u09bf\u09af\u09bc\u09be\u09b0 \u09ae\u09bf\u0989\u09a8\u09bf\u0996 \u09b6\u09b9\u09b0\u09c7\u0987 his work with that can . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-19.242 tm_pt_6=-9.832 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-2.368 tm_pt_10=-17.376 tm_pt_11=0.000 tm_pt_12=-3.305 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-33.973 lm_1=-25.956 WordPenalty=-5.212 OOVPenalty=-400.000 ||| -465.694
-6 ||| \u09b9\u09bf\u099f\u09b2\u09be\u09b0\u0993 \u09ac\u09be\u09ad\u09be\u09b0\u09bf\u09af\u09bc\u09be\u09b0 \u09ae\u09bf\u0989\u09a8\u09bf\u0996 \u09b6\u09b9\u09b0\u09c7\u0987 his work with can that . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-19.242 tm_pt_6=-9.832 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.503 tm_pt_10=-17.011 tm_pt_11=0.000 tm_pt_12=-3.528 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-35.292 lm_1=-26.410 WordPenalty=-5.212 OOVPenalty=-400.000 ||| -466.199
-6 ||| \u09b9\u09bf\u099f\u09b2\u09be\u09b0\u0993 \u09ac\u09be\u09ad\u09be\u09b0\u09bf\u09af\u09bc\u09be\u09b0 \u09ae\u09bf\u0989\u09a8\u09bf\u0996 \u09b6\u09b9\u09b0\u09c7\u0987 his work could that with . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-19.925 tm_pt_6=-12.193 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-1.736 tm_pt_10=-13.793 tm_pt_11=0.000 tm_pt_12=-1.919 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-35.742 lm_1=-24.982 WordPenalty=-5.212 OOVPenalty=-400.000 ||| -466.677
-6 ||| \u09b9\u09bf\u099f\u09b2\u09be\u09b0\u0993 \u09ac\u09be\u09ad\u09be\u09b0\u09bf\u09af\u09bc\u09be\u09b0 \u09ae\u09bf\u0989\u09a8\u09bf\u0996 \u09b6\u09b9\u09b0\u09c7\u0987 its work with that can . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-6.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-20.130 tm_pt_6=-11.794 tm_pt_7=-6.000 tm_pt_8=-16.308 tm_pt_9=-2.368 tm_pt_10=-17.845 tm_pt_11=0.000 tm_pt_12=-5.310 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-34.521 lm_1=-25.533 WordPenalty=-5.212 OOVPenalty=-400.000 ||| -467.521
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and also some linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character is but these a is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-40.521 tm_pt_6=-16.440 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.889 tm_pt_10=-28.483 tm_pt_11=0.000 tm_pt_12=-9.906 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-46.205 lm_1=-34.518 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -292.687
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and also some linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character is but these very is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-36.805 tm_pt_6=-15.372 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.871 tm_pt_10=-24.380 tm_pt_11=0.000 tm_pt_12=-9.030 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-47.390 lm_1=-35.336 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -292.701
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and also some linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character are but these very is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-35.727 tm_pt_6=-15.118 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.871 tm_pt_10=-23.123 tm_pt_11=0.000 tm_pt_12=-8.647 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-48.326 lm_1=-35.181 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -292.912
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and some more linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character is but these a is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-38.538 tm_pt_6=-15.147 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.892 tm_pt_10=-28.563 tm_pt_11=0.000 tm_pt_12=-10.079 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-46.230 lm_1=-34.518 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -292.945
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and some more linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character is but these very is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-34.821 tm_pt_6=-14.079 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.874 tm_pt_10=-24.460 tm_pt_11=0.000 tm_pt_12=-9.204 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-47.416 lm_1=-35.336 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -292.960
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and some more linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character are but these very is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-33.743 tm_pt_6=-13.825 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.874 tm_pt_10=-23.203 tm_pt_11=0.000 tm_pt_12=-8.821 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-48.352 lm_1=-35.181 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -293.171
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and also some linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character are but these is not common . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-12.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-36.984 tm_pt_6=-17.526 tm_pt_7=-12.000 tm_pt_8=-32.616 tm_pt_9=-2.871 tm_pt_10=-24.262 tm_pt_11=0.000 tm_pt_12=-8.564 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=13.000 lm_0=-47.411 lm_1=-33.956 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -293.188
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and also some linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character there but these very is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-34.439 tm_pt_6=-14.939 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.871 tm_pt_10=-22.476 tm_pt_11=0.000 tm_pt_12=-9.541 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-48.680 lm_1=-35.181 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -293.191
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and some more linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character are but these is not common . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-12.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-35.001 tm_pt_6=-16.233 tm_pt_7=-12.000 tm_pt_8=-32.616 tm_pt_9=-2.874 tm_pt_10=-24.342 tm_pt_11=0.000 tm_pt_12=-8.737 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=12.000 lm_0=-47.437 lm_1=-33.956 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -293.447
-7 ||| task , \u0993\u098f\u09b8-\u099f\u09cd\u09af\u09be\u09a8 and some more linux \u09aa\u09cd\u09b0\u09a4\u09bf\u09a8\u09bf\u09a7\u09bf\u09a4\u09cd\u09ac\u0995\u09be\u09b0\u09c0 character there but these very is not . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-32.456 tm_pt_6=-13.646 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-1.874 tm_pt_10=-22.557 tm_pt_11=0.000 tm_pt_12=-9.715 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-48.706 lm_1=-35.181 WordPenalty=-7.817 OOVPenalty=-200.000 ||| -293.450
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rules of the the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-51.949 tm_pt_6=-23.028 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-4.346 tm_pt_10=-40.862 tm_pt_11=0.000 tm_pt_12=-16.582 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-44.904 lm_1=-32.036 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -303.147
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rule of the the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-52.547 tm_pt_6=-22.440 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-4.218 tm_pt_10=-41.230 tm_pt_11=0.000 tm_pt_12=-15.889 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-44.342 lm_1=-33.010 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -303.315
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rule of the in the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-58.491 tm_pt_6=-22.780 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-4.303 tm_pt_10=-38.507 tm_pt_11=0.000 tm_pt_12=-16.177 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-45.015 lm_1=-33.550 WordPenalty=-8.686 OOVPenalty=-200.000 ||| -303.603
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rule of the fingers . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-48.497 tm_pt_6=-24.838 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-4.536 tm_pt_10=-34.420 tm_pt_11=0.000 tm_pt_12=-15.157 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-45.197 lm_1=-34.200 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -303.936
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rules of the is . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-50.981 tm_pt_6=-23.411 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-4.298 tm_pt_10=-38.862 tm_pt_11=0.000 tm_pt_12=-15.889 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-45.232 lm_1=-33.325 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -304.291
-8 ||| this social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rule of the fingers . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-50.091 tm_pt_6=-25.785 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-4.536 tm_pt_10=-36.353 tm_pt_11=0.000 tm_pt_12=-15.790 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-44.436 lm_1=-34.295 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -304.466
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rules of the fingers . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-47.899 tm_pt_6=-25.426 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-4.665 tm_pt_10=-34.052 tm_pt_11=0.000 tm_pt_12=-15.850 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-45.758 lm_1=-33.931 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -304.640
-8 ||| it social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rule of the is . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-51.579 tm_pt_6=-22.823 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-4.169 tm_pt_10=-39.230 tm_pt_11=0.000 tm_pt_12=-15.196 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-44.670 lm_1=-34.452 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -304.647
-8 ||| this social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rules of the is . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-52.574 tm_pt_6=-24.358 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-4.298 tm_pt_10=-40.795 tm_pt_11=0.000 tm_pt_12=-16.521 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-44.472 lm_1=-33.420 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -304.820
-8 ||| this social situation in his oppositions \u09b8\u09bf\u09a6\u09cd\u09a7\u09be\u09a8\u09cd\u09a4\u0997\u09cd\u09b0\u09b9\u09a8\u0995\u09be\u09b0\u09c0 \u0995\u09cd\u09b0\u09c0\u09a1\u09bc\u09be\u0995\u09cd\u09b7\u09c7\u09a4\u09cd\u09b0\u09c7 decision making with the rules of the fingers . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-49.492 tm_pt_6=-26.373 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-4.665 tm_pt_10=-35.985 tm_pt_11=0.000 tm_pt_12=-16.483 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-44.998 lm_1=-34.026 WordPenalty=-8.252 OOVPenalty=-200.000 ||| -305.170
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 annual \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf meters ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-3.372 tm_pt_6=-3.054 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.368 tm_pt_10=-2.140 tm_pt_11=0.000 tm_pt_12=-1.263 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-26.340 lm_1=-17.443 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -342.660
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 annual \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf meter ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-3.885 tm_pt_6=-2.821 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.368 tm_pt_10=-2.140 tm_pt_11=0.000 tm_pt_12=-1.337 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-26.316 lm_1=-17.443 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -342.676
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 arrange \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf meters ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-2.916 tm_pt_6=-3.748 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.000 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-1.956 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-26.532 lm_1=-17.735 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -343.618
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 arrange \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf meter ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-3.430 tm_pt_6=-3.514 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.000 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-2.030 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-26.509 lm_1=-17.735 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -343.633
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 annual \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf is ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-10.780 tm_pt_6=-4.900 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.368 tm_pt_10=-9.020 tm_pt_11=0.000 tm_pt_12=-3.902 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-24.572 lm_1=-16.003 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -344.278
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 annual \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf above ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-6.156 tm_pt_6=-5.306 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.368 tm_pt_10=-2.833 tm_pt_11=0.000 tm_pt_12=-3.902 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-26.244 lm_1=-16.235 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -344.284
-9 ||| \u09ac\u09c3\u09b7\u09cd\u099f\u09bf\u09aa\u09be\u09a4\u0983 annual \u09e8\u09eb\u09ea\u09e6 \u09ae\u09bf\u09b2\u09bf metres ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-3.608 tm_pt_6=-4.389 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.503 tm_pt_10=-2.140 tm_pt_11=0.000 tm_pt_12=-2.803 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-26.771 lm_1=-17.443 WordPenalty=-3.040 OOVPenalty=-300.000 ||| -344.352
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f in the national conference was he the speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-52.291 tm_pt_6=-17.578 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.738 tm_pt_10=-37.639 tm_pt_11=0.000 tm_pt_12=-11.291 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=17.000 lm_0=-63.388 lm_1=-50.340 WordPenalty=-10.423 OOVPenalty=-600.000 ||| -728.897
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 he in national \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f party was the main speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-41.284 tm_pt_6=-16.735 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.525 tm_pt_10=-31.599 tm_pt_11=0.000 tm_pt_12=-10.353 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=13.000 lm_0=-63.061 lm_1=-49.582 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -728.950
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f in the national conference was he the speech -lrb- keynote speech -rrb- on the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-50.081 tm_pt_6=-17.884 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.420 tm_pt_10=-33.895 tm_pt_11=0.000 tm_pt_12=-10.598 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=17.000 lm_0=-64.518 lm_1=-50.766 WordPenalty=-10.423 OOVPenalty=-600.000 ||| -729.027
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 he in national \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f party was the main speech -lrb- keynote speech -rrb- on the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-39.075 tm_pt_6=-17.041 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.207 tm_pt_10=-27.855 tm_pt_11=0.000 tm_pt_12=-9.660 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=13.000 lm_0=-64.192 lm_1=-50.008 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -729.081
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f in the national was he the speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-49.789 tm_pt_6=-17.578 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-2.056 tm_pt_10=-43.723 tm_pt_11=0.000 tm_pt_12=-10.805 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=18.000 lm_0=-61.947 lm_1=-50.201 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -729.099
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in national \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f party was the he the speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-45.731 tm_pt_6=-17.483 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.524 tm_pt_10=-36.236 tm_pt_11=0.000 tm_pt_12=-9.345 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-64.100 lm_1=-48.774 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -729.223
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f in the national was he the speech -lrb- keynote speech -rrb- on the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-47.579 tm_pt_6=-17.884 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.738 tm_pt_10=-39.979 tm_pt_11=0.000 tm_pt_12=-10.112 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=18.000 lm_0=-63.078 lm_1=-50.627 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -729.230
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f in the national conference was he main speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-47.844 tm_pt_6=-16.831 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.738 tm_pt_10=-33.032 tm_pt_11=0.000 tm_pt_12=-9.306 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=17.000 lm_0=-65.045 lm_1=-51.497 WordPenalty=-10.423 OOVPenalty=-600.000 ||| -729.376
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in national \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f party was the he main speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-41.284 tm_pt_6=-16.735 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-1.524 tm_pt_10=-31.629 tm_pt_11=0.000 tm_pt_12=-7.360 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-65.757 lm_1=-49.826 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -729.571
-10 ||| in 2004 \u09ae\u09cd\u09af\u09be\u09b8\u09be\u099a\u09c1\u09b8\u09c7\u099f\u09b8 \u0985\u0999\u09cd\u0997\u09b0\u09be\u099c\u09cd\u09af\u09c7\u09b0 \u09ac\u09b8\u09cd\u099f\u09a8 in \u09a1\u09c7\u09ae\u09cb\u0995\u09cd\u09b0\u09cd\u09af\u09be\u099f in the national was he main speech -lrb- keynote speech -rrb- , the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-45.343 tm_pt_6=-16.831 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-2.056 tm_pt_10=-39.115 tm_pt_11=0.000 tm_pt_12=-8.820 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=18.000 lm_0=-63.604 lm_1=-51.358 WordPenalty=-9.989 OOVPenalty=-600.000 ||| -729.578
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac they started the where the west pakistan was considered as a province . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-24.000 tm_pt_3=0.000 tm_pt_4=-21.000 tm_pt_5=-83.737 tm_pt_6=-46.104 tm_pt_7=-24.000 tm_pt_8=-65.232 tm_pt_9=-5.578 tm_pt_10=-65.560 tm_pt_11=0.000 tm_pt_12=-18.490 tm_pt_13=0.000 tm_pt_14=-30.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=21.000 lm_0=-67.857 lm_1=-46.089 WordPenalty=-14.332 OOVPenalty=-100.000 ||| -245.539
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac started with the where the west pakistan was considered as a province . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-24.000 tm_pt_3=0.000 tm_pt_4=-20.000 tm_pt_5=-85.129 tm_pt_6=-46.104 tm_pt_7=-24.000 tm_pt_8=-65.232 tm_pt_9=-5.896 tm_pt_10=-66.642 tm_pt_11=0.000 tm_pt_12=-18.372 tm_pt_13=0.000 tm_pt_14=-30.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=20.000 lm_0=-66.308 lm_1=-46.684 WordPenalty=-14.332 OOVPenalty=-100.000 ||| -246.090
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac given started the where the west pakistan was considered as a province . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-24.000 tm_pt_3=0.000 tm_pt_4=-20.000 tm_pt_5=-83.065 tm_pt_6=-46.104 tm_pt_7=-24.000 tm_pt_8=-65.232 tm_pt_9=-4.713 tm_pt_10=-61.832 tm_pt_11=0.000 tm_pt_12=-17.391 tm_pt_13=0.000 tm_pt_14=-30.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=20.000 lm_0=-69.330 lm_1=-46.228 WordPenalty=-14.332 OOVPenalty=-100.000 ||| -246.304
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac they started the where the regarded as a province west pakistan . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-25.000 tm_pt_3=0.000 tm_pt_4=-21.000 tm_pt_5=-81.357 tm_pt_6=-47.996 tm_pt_7=-25.000 tm_pt_8=-67.950 tm_pt_9=-4.630 tm_pt_10=-63.514 tm_pt_11=0.000 tm_pt_12=-16.959 tm_pt_13=0.000 tm_pt_14=-29.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=21.000 lm_0=-66.590 lm_1=-47.021 WordPenalty=-13.897 OOVPenalty=-100.000 ||| -246.554
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac with started the where the west pakistan was considered as a province . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-24.000 tm_pt_3=0.000 tm_pt_4=-21.000 tm_pt_5=-85.129 tm_pt_6=-46.104 tm_pt_7=-24.000 tm_pt_8=-65.232 tm_pt_9=-5.578 tm_pt_10=-66.463 tm_pt_11=0.000 tm_pt_12=-18.490 tm_pt_13=0.000 tm_pt_14=-30.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=21.000 lm_0=-68.152 lm_1=-46.328 WordPenalty=-14.332 OOVPenalty=-100.000 ||| -246.701
-11 ||| population on power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac started with the where the west pakistan was considered as a province . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-25.000 tm_pt_3=0.000 tm_pt_4=-21.000 tm_pt_5=-81.148 tm_pt_6=-44.637 tm_pt_7=-25.000 tm_pt_8=-67.950 tm_pt_9=-6.528 tm_pt_10=-64.590 tm_pt_11=0.000 tm_pt_12=-19.542 tm_pt_13=0.000 tm_pt_14=-30.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=21.000 lm_0=-67.384 lm_1=-46.965 WordPenalty=-14.332 OOVPenalty=-100.000 ||| -247.096
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac they started the where the considered as a province west pakistan . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-25.000 tm_pt_3=0.000 tm_pt_4=-21.000 tm_pt_5=-81.467 tm_pt_6=-46.438 tm_pt_7=-25.000 tm_pt_8=-67.950 tm_pt_9=-5.262 tm_pt_10=-65.817 tm_pt_11=0.000 tm_pt_12=-17.653 tm_pt_13=0.000 tm_pt_14=-29.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=21.000 lm_0=-66.450 lm_1=-47.021 WordPenalty=-13.897 OOVPenalty=-100.000 ||| -247.231
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac given started the where the regarded as a province west pakistan . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-25.000 tm_pt_3=0.000 tm_pt_4=-20.000 tm_pt_5=-80.686 tm_pt_6=-47.996 tm_pt_7=-25.000 tm_pt_8=-67.950 tm_pt_9=-3.765 tm_pt_10=-59.786 tm_pt_11=0.000 tm_pt_12=-15.861 tm_pt_13=0.000 tm_pt_14=-29.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=20.000 lm_0=-68.063 lm_1=-47.160 WordPenalty=-13.897 OOVPenalty=-100.000 ||| -247.319
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac with started the where the regarded as a province west pakistan . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-25.000 tm_pt_3=0.000 tm_pt_4=-21.000 tm_pt_5=-82.750 tm_pt_6=-47.996 tm_pt_7=-25.000 tm_pt_8=-67.950 tm_pt_9=-4.630 tm_pt_10=-64.417 tm_pt_11=0.000 tm_pt_12=-16.959 tm_pt_13=0.000 tm_pt_14=-29.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=21.000 lm_0=-66.885 lm_1=-47.260 WordPenalty=-13.897 OOVPenalty=-100.000 ||| -247.715
-11 ||| population , power of east pakistan where to west pakistan " one unit theory " is a \u0985\u09ad\u09bf\u09a8\u09ac given started the where the considered as a province west pakistan . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-25.000 tm_pt_3=0.000 tm_pt_4=-20.000 tm_pt_5=-80.795 tm_pt_6=-46.438 tm_pt_7=-25.000 tm_pt_8=-67.950 tm_pt_9=-4.397 tm_pt_10=-62.089 tm_pt_11=0.000 tm_pt_12=-16.554 tm_pt_13=0.000 tm_pt_14=-29.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=20.000 lm_0=-67.923 lm_1=-47.160 WordPenalty=-13.897 OOVPenalty=-100.000 ||| -247.996
-12 ||| mathematical \u09aa\u09b0\u09bf\u09ae\u09be\u09aa\u09a8 theory ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-2.869 tm_pt_6=-2.890 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.000 tm_pt_10=-4.888 tm_pt_11=0.000 tm_pt_12=-2.010 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-12.665 lm_1=-9.989 WordPenalty=-2.171 OOVPenalty=-100.000 ||| -123.067
-12 ||| the \u09aa\u09b0\u09bf\u09ae\u09be\u09aa\u09a8 theory ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-9.309 tm_pt_6=-3.988 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.368 tm_pt_10=-7.916 tm_pt_11=0.000 tm_pt_12=-1.316 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-11.112 lm_1=-10.414 WordPenalty=-2.171 OOVPenalty=-100.000 ||| -123.301
-12 ||| . \u09aa\u09b0\u09bf\u09ae\u09be\u09aa\u09a8 theory ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-7.900 tm_pt_6=-2.990 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-3.641 tm_pt_11=0.000 tm_pt_12=-1.712 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-12.758 lm_1=-10.015 WordPenalty=-2.171 OOVPenalty=-100.000 ||| -123.942
-12 ||| \u2022 \u09aa\u09b0\u09bf\u09ae\u09be\u09aa\u09a8 theory ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-1.046 tm_pt_6=-5.241 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.368 tm_pt_10=-0.422 tm_pt_11=0.000 tm_pt_12=-1.316 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-14.217 lm_1=-10.419 WordPenalty=-2.171 OOVPenalty=-100.000 ||| -124.052
-13 ||| external links of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-7.390 tm_pt_6=-2.729 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-1.611 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-6.986 lm_1=-5.946 WordPenalty=-2.171 OOVPenalty=0.000 ||| -11.675
-13 ||| external link of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-8.091 tm_pt_6=-2.871 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-2.767 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-7.533 lm_1=-5.946 WordPenalty=-2.171 OOVPenalty=0.000 ||| -12.944
-13 ||| outer link of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-8.247 tm_pt_6=-3.617 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-3.202 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-7.249 lm_1=-5.946 WordPenalty=-2.171 OOVPenalty=0.000 ||| -13.031
-13 ||| external communication of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-8.265 tm_pt_6=-2.886 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-2.555 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-7.692 lm_1=-5.946 WordPenalty=-2.171 OOVPenalty=0.000 ||| -13.104
-13 ||| outer communication of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-8.420 tm_pt_6=-3.648 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-3.297 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-7.553 lm_1=-5.946 WordPenalty=-2.171 OOVPenalty=0.000 ||| -13.484
-13 ||| external connection of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-8.551 tm_pt_6=-3.029 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.037 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-3.990 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-8.109 lm_1=-5.946 WordPenalty=-2.171 OOVPenalty=0.000 ||| -14.247
-13 ||| out-links of ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-6.938 tm_pt_6=-4.795 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.018 tm_pt_10=-5.285 tm_pt_11=0.000 tm_pt_12=-3.297 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-8.078 lm_1=-4.396 WordPenalty=-1.737 OOVPenalty=0.000 ||| -14.259
-14 ||| tata communication " foreign sanchar nigam limited building is the telecommunication system of a main providers ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-40.840 tm_pt_6=-15.009 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-3.507 tm_pt_10=-27.395 tm_pt_11=0.000 tm_pt_12=-13.114 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-45.756 lm_1=-35.626 WordPenalty=-7.817 OOVPenalty=0.000 ||| -98.525
-14 ||| tata communication " foreign sanchar nigam limited building is the telecommunication system of a the providers ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-44.626 tm_pt_6=-15.096 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-3.507 tm_pt_10=-30.934 tm_pt_11=0.000 tm_pt_12=-14.030 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-45.036 lm_1=-35.036 WordPenalty=-7.817 OOVPenalty=0.000 ||| -98.899
-14 ||| tata communication " foreign sanchar nigam limited building it the telecommunication system of a main providers ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-38.870 tm_pt_6=-14.378 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-2.524 tm_pt_10=-23.054 tm_pt_11=0.000 tm_pt_12=-10.369 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-47.786 lm_1=-36.147 WordPenalty=-7.817 OOVPenalty=0.000 ||| -99.150
-14 ||| tata communication " foreign sanchar nigam limited building it the telecommunication system of a the providers ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-42.656 tm_pt_6=-14.466 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-3.506 tm_pt_10=-27.222 tm_pt_11=0.000 tm_pt_12=-11.190 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-47.066 lm_1=-35.556 WordPenalty=-7.817 OOVPenalty=0.000 ||| -99.494
-14 ||| tata communication " foreign sanchar nigam limited building is the telecommunication system is the main providers ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-44.366 tm_pt_6=-18.068 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-4.390 tm_pt_10=-25.931 tm_pt_11=0.000 tm_pt_12=-12.761 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-43.128 lm_1=-36.462 WordPenalty=-7.817 OOVPenalty=0.000 ||| -99.795
-14 ||| tata communication " foreign sanchar nigam limited building is the telecommunication system is one of the providers ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-12.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-49.485 tm_pt_6=-17.961 tm_pt_7=-12.000 tm_pt_8=-32.616 tm_pt_9=-4.371 tm_pt_10=-27.543 tm_pt_11=0.000 tm_pt_12=-15.099 tm_pt_13=0.000 tm_pt_14=-17.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-43.606 lm_1=-37.456 WordPenalty=-8.252 OOVPenalty=0.000 ||| -100.118
-14 ||| tata communication " foreign sanchar nigam limited building is the main providers of telecommunication system is ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-12.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-43.603 tm_pt_6=-17.632 tm_pt_7=-12.000 tm_pt_8=-32.616 tm_pt_9=-3.439 tm_pt_10=-24.629 tm_pt_11=0.000 tm_pt_12=-15.084 tm_pt_13=0.000 tm_pt_14=-16.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-42.899 lm_1=-37.040 WordPenalty=-7.817 OOVPenalty=0.000 ||| -100.827
-15 ||| he that year \u09ea\u0987 \u09a8\u09ad\u09c7\u09ae\u09cd\u09ac\u09b0\u09c7\u09b0 national assembly in the won all and was elected as the 44th president of the united states . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-67.250 tm_pt_6=-18.027 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.383 tm_pt_10=-13.421 tm_pt_11=0.000 tm_pt_12=-6.471 tm_pt_13=0.000 tm_pt_14=-21.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-46.628 lm_1=-35.442 WordPenalty=-10.857 OOVPenalty=-200.000 ||| -285.117
-15 ||| in that year \u09ea\u0987 \u09a8\u09ad\u09c7\u09ae\u09cd\u09ac\u09b0\u09c7\u09b0 national assembly in the won all and was elected as the 44th president of the united states . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-72.353 tm_pt_6=-21.308 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.383 tm_pt_10=-17.619 tm_pt_11=0.000 tm_pt_12=-10.104 tm_pt_13=0.000 tm_pt_14=-21.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-43.704 lm_1=-35.202 WordPenalty=-10.857 OOVPenalty=-200.000 ||| -285.675
-15 ||| in the year \u09ea\u0987 \u09a8\u09ad\u09c7\u09ae\u09cd\u09ac\u09b0\u09c7\u09b0 national assembly in the won all and was elected as the 44th president of the united states . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-74.382 tm_pt_6=-21.237 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.015 tm_pt_10=-23.652 tm_pt_11=0.000 tm_pt_12=-10.678 tm_pt_13=0.000 tm_pt_14=-21.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-42.047 lm_1=-35.283 WordPenalty=-10.857 OOVPenalty=-200.000 ||| -285.744
-15 ||| he the year \u09ea\u0987 \u09a8\u09ad\u09c7\u09ae\u09cd\u09ac\u09b0\u09c7\u09b0 national assembly in the won all and was elected as the 44th president of the united states . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-69.279 tm_pt_6=-17.956 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.015 tm_pt_10=-19.454 tm_pt_11=0.000 tm_pt_12=-7.046 tm_pt_13=0.000 tm_pt_14=-21.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-46.478 lm_1=-34.757 WordPenalty=-10.857 OOVPenalty=-200.000 ||| -286.105
-15 ||| he that year \u09ea\u0987 \u09a8\u09ad\u09c7\u09ae\u09cd\u09ac\u09b0\u09c7\u09b0 national assembly in the won all and elected as the 44th president of the united states . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-62.544 tm_pt_6=-17.987 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.382 tm_pt_10=-14.160 tm_pt_11=0.000 tm_pt_12=-5.506 tm_pt_13=0.000 tm_pt_14=-20.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-46.630 lm_1=-35.981 WordPenalty=-10.423 OOVPenalty=-200.000 ||| -286.655
-16 ||| many indian \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 \u099f\u09c7\u0995\u09cd\u09b8\u09be from upper stage ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-14.556 tm_pt_6=-12.125 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-2.670 tm_pt_11=0.000 tm_pt_12=-0.912 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-35.728 lm_1=-25.931 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -364.209
-16 ||| many indian \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 \u099f\u09c7\u0995\u09cd\u09b8\u09be to upper stage ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-16.518 tm_pt_6=-13.004 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-4.474 tm_pt_11=0.000 tm_pt_12=-2.241 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-35.464 lm_1=-25.936 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -365.503
-16 ||| many indian \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 \u099f\u09c7\u0995\u09cd\u09b8\u09be upper stage from ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-14.556 tm_pt_6=-12.125 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-2.830 tm_pt_11=0.000 tm_pt_12=-1.650 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-36.278 lm_1=-25.431 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -365.538
-16 ||| many indian \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 from \u099f\u09c7\u0995\u09cd\u09b8\u09be upper stage ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-4.000 tm_pt_5=-14.556 tm_pt_6=-12.125 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-3.002 tm_pt_11=0.000 tm_pt_12=-1.537 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-35.728 lm_1=-26.794 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -366.548
-16 ||| of indian \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 \u099f\u09c7\u0995\u09cd\u09b8\u09be from upper stage ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-19.990 tm_pt_6=-14.047 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.050 tm_pt_10=-6.670 tm_pt_11=0.000 tm_pt_12=-3.477 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-34.630 lm_1=-26.215 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -366.885
-16 ||| many the \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 \u099f\u09c7\u0995\u09cd\u09b8\u09be from upper stage ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-18.962 tm_pt_6=-12.755 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-7.024 tm_pt_11=0.000 tm_pt_12=-2.862 tm_pt_13=0.000 tm_pt_14=-6.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-35.098 lm_1=-26.535 WordPenalty=-4.777 OOVPenalty=-300.000 ||| -367.054
-16 ||| many indian \u09aa\u09cd\u09b0\u099c\u09be\u09a4\u09bf fighting \u099c\u09be\u09a4 \u099f\u09c7\u0995\u09cd\u09b8\u09be from the upper stage ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-5.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-20.408 tm_pt_6=-12.744 tm_pt_7=-5.000 tm_pt_8=-13.590 tm_pt_9=-2.000 tm_pt_10=-3.443 tm_pt_11=0.000 tm_pt_12=-4.470 tm_pt_13=0.000 tm_pt_14=-7.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-35.506 lm_1=-27.896 WordPenalty=-5.212 OOVPenalty=-300.000 ||| -367.223
-17 ||| britain writers written drama novels and stories recently scripts in \u0986\u09a6\u09c3\u09a4 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-20.642 tm_pt_6=-10.927 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-0.874 tm_pt_10=-21.259 tm_pt_11=0.000 tm_pt_12=-8.774 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-36.970 lm_1=-24.414 WordPenalty=-6.080 OOVPenalty=-100.000 ||| -170.879
-17 ||| britain writers the drama novels and stories recently scripts in \u0986\u09a6\u09c3\u09a4 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-25.509 tm_pt_6=-11.095 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-0.959 tm_pt_10=-25.559 tm_pt_11=0.000 tm_pt_12=-9.061 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-36.194 lm_1=-23.463 WordPenalty=-6.080 OOVPenalty=-100.000 ||| -171.018
-17 ||| britain writers written drama novels stories and recently scripts in \u0986\u09a6\u09c3\u09a4 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-20.642 tm_pt_6=-10.927 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-0.874 tm_pt_10=-16.732 tm_pt_11=0.000 tm_pt_12=-5.024 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-40.717 lm_1=-24.768 WordPenalty=-6.080 OOVPenalty=-100.000 ||| -171.523
-17 ||| britain writers written drama novels and stories recently script in \u0986\u09a6\u09c3\u09a4 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-21.418 tm_pt_6=-10.442 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-1.824 tm_pt_10=-21.547 tm_pt_11=0.000 tm_pt_12=-10.160 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-36.674 lm_1=-24.414 WordPenalty=-6.080 OOVPenalty=-100.000 ||| -171.840
-17 ||| britain writers the drama novels and stories recently script in \u0986\u09a6\u09c3\u09a4 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-26.285 tm_pt_6=-10.609 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-1.909 tm_pt_10=-25.847 tm_pt_11=0.000 tm_pt_12=-10.448 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-35.899 lm_1=-23.463 WordPenalty=-6.080 OOVPenalty=-100.000 ||| -171.980
-17 ||| britain writers written drama novel stories and recently scripts in \u0986\u09a6\u09c3\u09a4 . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-21.690 tm_pt_6=-11.374 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-0.874 tm_pt_10=-17.888 tm_pt_11=0.000 tm_pt_12=-5.391 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-40.536 lm_1=-24.768 WordPenalty=-6.080 OOVPenalty=-100.000 ||| -172.083
-18 ||| 1919 on may month it -lrb- magazine was published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-20.792 tm_pt_6=-13.466 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.167 tm_pt_10=-12.018 tm_pt_11=0.000 tm_pt_12=-7.168 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-26.824 lm_1=-17.292 WordPenalty=-5.212 OOVPenalty=0.000 ||| -48.758
-18 ||| 1919 on may month it -lrb- paper published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-18.147 tm_pt_6=-15.056 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.645 tm_pt_10=-12.241 tm_pt_11=0.000 tm_pt_12=-7.456 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-25.565 lm_1=-16.091 WordPenalty=-4.777 OOVPenalty=0.000 ||| -49.202
-18 ||| 1919 on may month it -lrb- in published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-21.062 tm_pt_6=-12.823 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.327 tm_pt_10=-17.056 tm_pt_11=0.000 tm_pt_12=-8.085 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-25.508 lm_1=-16.231 WordPenalty=-4.777 OOVPenalty=0.000 ||| -49.344
-18 ||| 1919 on may month it -lrb- magazine published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-16.574 tm_pt_6=-13.110 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.284 tm_pt_10=-12.018 tm_pt_11=0.000 tm_pt_12=-7.679 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-27.629 lm_1=-16.091 WordPenalty=-4.777 OOVPenalty=0.000 ||| -49.550
-18 ||| 1919 on may , it -lrb- paper published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-24.019 tm_pt_6=-15.257 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-2.510 tm_pt_10=-12.137 tm_pt_11=0.000 tm_pt_12=-5.525 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-23.603 lm_1=-17.056 WordPenalty=-4.777 OOVPenalty=0.000 ||| -49.933
-18 ||| 1919 on may , it -lrb- in published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-26.935 tm_pt_6=-13.023 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-2.192 tm_pt_10=-16.952 tm_pt_11=0.000 tm_pt_12=-6.153 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-23.546 lm_1=-17.195 WordPenalty=-4.777 OOVPenalty=0.000 ||| -50.076
-18 ||| 1919 in may , it -lrb- paper published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-26.096 tm_pt_6=-15.877 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-1.878 tm_pt_10=-11.444 tm_pt_11=0.000 tm_pt_12=-4.831 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-24.006 lm_1=-17.081 WordPenalty=-4.777 OOVPenalty=0.000 ||| -50.130
-18 ||| 1919 on may , it is -lrb- in published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-30.789 tm_pt_6=-13.290 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-2.192 tm_pt_10=-16.360 tm_pt_11=0.000 tm_pt_12=-6.691 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-24.112 lm_1=-16.790 WordPenalty=-5.212 OOVPenalty=0.000 ||| -50.170
-18 ||| 1919 in may , it -lrb- in published . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-29.012 tm_pt_6=-13.644 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-1.560 tm_pt_10=-16.259 tm_pt_11=0.000 tm_pt_12=-5.460 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-23.949 lm_1=-17.221 WordPenalty=-4.777 OOVPenalty=0.000 ||| -50.272
-19 ||| 2005 , \u0989\u0987\u09ae\u09c7\u09a8\u09b8 tennis association tour \u099f\u09be\u09af\u09bc\u09be\u09b0-\u09a5\u09cd\u09b0\u09bf \u099f\u09c1\u09b0\u09cd\u09a8\u09be\u09ae\u09c7\u09a8\u09cd\u099f \u09b8\u09be\u09a8\u09ab\u09bf\u09b8\u09cd\u099f open netaji indoor stadium was arranged . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-21.244 tm_pt_6=-8.707 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.249 tm_pt_10=-15.730 tm_pt_11=0.000 tm_pt_12=-5.148 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-57.604 lm_1=-39.798 WordPenalty=-7.817 OOVPenalty=-400.000 ||| -501.538
-19 ||| 2005 , \u0989\u0987\u09ae\u09c7\u09a8\u09b8 tennis association tour \u099f\u09be\u09af\u09bc\u09be\u09b0-\u09a5\u09cd\u09b0\u09bf \u099f\u09c1\u09b0\u09cd\u09a8\u09be\u09ae\u09c7\u09a8\u09cd\u099f \u09b8\u09be\u09a8\u09ab\u09bf\u09b8\u09cd\u099f open netaji indoor stadium was organized . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-22.039 tm_pt_6=-8.841 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.249 tm_pt_10=-16.240 tm_pt_11=0.000 tm_pt_12=-5.148 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-57.677 lm_1=-39.749 WordPenalty=-7.817 OOVPenalty=-400.000 ||| -501.898
-19 ||| 2005 , \u0989\u0987\u09ae\u09c7\u09a8\u09b8 tennis association tour \u099f\u09be\u09af\u09bc\u09be\u09b0-\u09a5\u09cd\u09b0\u09bf \u099f\u09c1\u09b0\u09cd\u09a8\u09be\u09ae\u09c7\u09a8\u09cd\u099f \u09b8\u09be\u09a8\u09ab\u09bf\u09b8\u09cd\u099f open netaji indoor stadium organized in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-24.172 tm_pt_6=-9.959 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.249 tm_pt_10=-16.993 tm_pt_11=0.000 tm_pt_12=-6.193 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-58.336 lm_1=-39.009 WordPenalty=-7.817 OOVPenalty=-400.000 ||| -502.189
-19 ||| 2005 , \u0989\u0987\u09ae\u09c7\u09a8\u09b8 tennis association tour \u099f\u09be\u09af\u09bc\u09be\u09b0-\u09a5\u09cd\u09b0\u09bf \u099f\u09c1\u09b0\u09cd\u09a8\u09be\u09ae\u09c7\u09a8\u09cd\u099f \u09b8\u09be\u09a8\u09ab\u09bf\u09b8\u09cd\u099f open netaji indoor stadium organized was . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-22.039 tm_pt_6=-8.841 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.249 tm_pt_10=-15.520 tm_pt_11=0.000 tm_pt_12=-5.062 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-59.983 lm_1=-39.504 WordPenalty=-7.817 OOVPenalty=-400.000 ||| -503.267
-20 ||| to prevent this several measures are taken . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-1.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-22.680 tm_pt_6=-30.812 tm_pt_7=-1.000 tm_pt_8=-2.718 tm_pt_9=-1.000 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-1.386 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-11.632 lm_1=-10.983 WordPenalty=-4.343 OOVPenalty=0.000 ||| -25.678
-20 ||| to avoid this possibility several measures are taken . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-1.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-24.597 tm_pt_6=-31.733 tm_pt_7=-1.000 tm_pt_8=-2.718 tm_pt_9=-1.000 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-1.386 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-13.461 lm_1=-12.428 WordPenalty=-4.777 OOVPenalty=0.000 ||| -28.478
-20 ||| to prevent this several measures are the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-3.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-24.227 tm_pt_6=-27.251 tm_pt_7=-3.000 tm_pt_8=-8.154 tm_pt_9=-1.000 tm_pt_10=-3.426 tm_pt_11=0.000 tm_pt_12=-2.285 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-14.066 lm_1=-12.982 WordPenalty=-4.343 OOVPenalty=0.000 ||| -31.830
-20 ||| to prevent this several measures are . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-20.219 tm_pt_6=-29.189 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.000 tm_pt_10=-6.851 tm_pt_11=0.000 tm_pt_12=-1.946 tm_pt_13=0.000 tm_pt_14=-7.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-12.686 lm_1=-11.625 WordPenalty=-3.909 OOVPenalty=0.000 ||| -32.367
-20 ||| to prevent this several measures are in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-3.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-23.388 tm_pt_6=-27.344 tm_pt_7=-3.000 tm_pt_8=-8.154 tm_pt_9=-1.000 tm_pt_10=-2.771 tm_pt_11=0.000 tm_pt_12=-2.699 tm_pt_13=0.000 tm_pt_14=-8.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-14.649 lm_1=-12.982 WordPenalty=-4.343 OOVPenalty=0.000 ||| -32.400
-20 ||| to prevent this several measures are taken . . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-22.746 tm_pt_6=-30.812 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-1.368 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-10.427 tm_pt_13=0.000 tm_pt_14=-9.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-15.278 lm_1=-12.549 WordPenalty=-4.777 OOVPenalty=0.000 ||| -33.898
-21 ||| \u09e7\u09ef\u09ec\u09ec on 5 february \u09b2\u09be\u09b9\u09cb\u09b0\u09c7 \u09a6\u09b2\u09b8\u09ae\u09c2\u09b9\u09c7\u09b0 against a national was held in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-19.901 tm_pt_6=-11.529 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.135 tm_pt_10=-5.272 tm_pt_11=0.000 tm_pt_12=-3.806 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-42.873 lm_1=-29.512 WordPenalty=-6.514 OOVPenalty=-300.000 ||| -373.091
-21 ||| \u09e7\u09ef\u09ec\u09ec on 5th february , \u09b2\u09be\u09b9\u09cb\u09b0\u09c7 \u09a6\u09b2\u09b8\u09ae\u09c2\u09b9\u09c7\u09b0 against a national was held in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-7.000 tm_pt_3=0.000 tm_pt_4=-5.000 tm_pt_5=-25.571 tm_pt_6=-13.159 tm_pt_7=-7.000 tm_pt_8=-19.026 tm_pt_9=-1.503 tm_pt_10=-3.423 tm_pt_11=0.000 tm_pt_12=-3.325 tm_pt_13=0.000 tm_pt_14=-11.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-42.544 lm_1=-30.355 WordPenalty=-6.949 OOVPenalty=-300.000 ||| -373.863
-21 ||| \u09e7\u09ef\u09ec\u09ec on 5 february \u09b2\u09be\u09b9\u09cb\u09b0\u09c7 against \u09a6\u09b2\u09b8\u09ae\u09c2\u09b9\u09c7\u09b0 a national was held in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-19.901 tm_pt_6=-11.529 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.135 tm_pt_10=-6.095 tm_pt_11=0.000 tm_pt_12=-4.029 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-43.433 lm_1=-30.334 WordPenalty=-6.514 OOVPenalty=-300.000 ||| -374.129
-21 ||| \u09e7\u09ef\u09ec\u09ec on 5 february \u09b2\u09be\u09b9\u09cb\u09b0\u09c7 of \u09a6\u09b2\u09b8\u09ae\u09c2\u09b9\u09c7\u09b0 a national was held in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-24.651 tm_pt_6=-11.840 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-1.018 tm_pt_10=-8.289 tm_pt_11=0.000 tm_pt_12=-3.518 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-42.147 lm_1=-30.745 WordPenalty=-6.514 OOVPenalty=-300.000 ||| -374.354
-21 ||| \u09e7\u09ef\u09ec\u09ec on 5 february \u09b2\u09be\u09b9\u09cb\u09b0\u09c7 \u09a6\u09b2\u09b8\u09ae\u09c2\u09b9\u09c7\u09b0 a national was held in against . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-8.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-19.901 tm_pt_6=-11.529 tm_pt_7=-8.000 tm_pt_8=-21.744 tm_pt_9=-0.154 tm_pt_10=-5.625 tm_pt_11=0.000 tm_pt_12=-3.764 tm_pt_13=0.000 tm_pt_14=-10.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=6.000 lm_0=-43.384 lm_1=-28.686 WordPenalty=-6.514 OOVPenalty=-300.000 ||| -375.831
-22 ||| bangladesh \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank secured its place in in the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-50.512 tm_pt_6=-9.888 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.050 tm_pt_10=-23.145 tm_pt_11=0.000 tm_pt_12=-2.086 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-45.104 lm_1=-39.650 WordPenalty=-8.252 OOVPenalty=-300.000 ||| -390.343
-22 ||| bangladesh \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank took secured its place in the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-46.603 tm_pt_6=-9.693 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.368 tm_pt_10=-19.856 tm_pt_11=0.000 tm_pt_12=-3.210 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=13.000 lm_0=-45.737 lm_1=-39.265 WordPenalty=-8.252 OOVPenalty=-300.000 ||| -390.606
-22 ||| bangladesh \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank secured its place in took the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-46.603 tm_pt_6=-9.693 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.368 tm_pt_10=-19.978 tm_pt_11=0.000 tm_pt_12=-2.779 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-46.563 lm_1=-39.704 WordPenalty=-8.252 OOVPenalty=-300.000 ||| -391.085
-22 ||| bangladesh \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank secured its place in in . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-47.305 tm_pt_6=-11.674 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.050 tm_pt_10=-27.018 tm_pt_11=0.000 tm_pt_12=-1.913 tm_pt_13=0.000 tm_pt_14=-13.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=12.000 lm_0=-44.173 lm_1=-37.800 WordPenalty=-7.817 OOVPenalty=-300.000 ||| -391.101
-22 ||| bangladesh \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank secured its place in adopted . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-42.382 tm_pt_6=-12.116 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-3.000 tm_pt_10=-21.979 tm_pt_11=0.000 tm_pt_12=-3.300 tm_pt_13=0.000 tm_pt_14=-13.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=12.000 lm_0=-45.321 lm_1=-37.892 WordPenalty=-7.817 OOVPenalty=-300.000 ||| -391.808
-22 ||| bangladesh \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank secured its place in took . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-43.395 tm_pt_6=-11.480 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.368 tm_pt_10=-23.851 tm_pt_11=0.000 tm_pt_12=-2.607 tm_pt_13=0.000 tm_pt_14=-13.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=12.000 lm_0=-45.354 lm_1=-38.351 WordPenalty=-7.817 OOVPenalty=-300.000 ||| -392.115
-22 ||| \u0985\u09b0\u09cd\u0997\u09be\u09a8\u09be\u0987\u099c\u09c7\u09b6\u09a8 bangladesh of the islamic \u0995\u09a8\u09ab\u09be\u09b0\u09c7\u09a8\u09cd\u09b8 and islamic \u09a1\u09c7\u09ad\u09c7\u09b2\u09aa\u09ae\u09c7\u09a3\u09cd\u099f bank secured its place in in the . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-50.512 tm_pt_6=-9.888 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-2.050 tm_pt_10=-25.870 tm_pt_11=0.000 tm_pt_12=-5.409 tm_pt_13=0.000 tm_pt_14=-14.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=13.000 lm_0=-46.143 lm_1=-37.905 WordPenalty=-8.252 OOVPenalty=-300.000 ||| -392.315
-23 ||| subject : encyclopedia ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-1.657 tm_pt_6=-1.542 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.000 tm_pt_10=-0.420 tm_pt_11=0.000 tm_pt_12=-1.500 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-5.528 lm_1=-7.730 WordPenalty=-2.171 OOVPenalty=0.000 ||| -9.260
-23 ||| subject category : encyclopedia ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-1.727 tm_pt_6=-1.749 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.135 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-1.881 tm_pt_13=0.000 tm_pt_14=-4.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-5.763 lm_1=-9.076 WordPenalty=-2.606 OOVPenalty=0.000 ||| -9.504
-23 ||| category : encyclopedia ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-1.425 tm_pt_6=-2.012 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.135 tm_pt_10=-0.020 tm_pt_11=0.000 tm_pt_12=-1.817 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-5.707 lm_1=-7.730 WordPenalty=-2.171 OOVPenalty=0.000 ||| -9.718
-23 ||| subject matter : encyclopedia ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-3.165 tm_pt_6=-2.139 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.135 tm_pt_10=-0.032 tm_pt_11=0.000 tm_pt_12=-2.958 tm_pt_13=0.000 tm_pt_14=-4.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-6.126 lm_1=-9.076 WordPenalty=-2.606 OOVPenalty=0.000 ||| -10.751
-23 ||| subject-class : encyclopedia ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-1.379 tm_pt_6=-3.561 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.135 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=-2.703 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-5.989 lm_1=-7.730 WordPenalty=-2.171 OOVPenalty=0.000 ||| -10.896
-24 ||| russia france and israel the main \u0985\u09b8\u09cd\u09a4\u09cd\u09b0\u09b8\u09b0\u09ac\u09b0\u09be\u09b9\u0995\u09be\u09b0\u09c0 state and defense sub country . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-18.467 tm_pt_6=-9.206 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-1.474 tm_pt_10=-10.535 tm_pt_11=0.000 tm_pt_12=-5.933 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-38.802 lm_1=-26.775 WordPenalty=-6.514 OOVPenalty=-100.000 ||| -166.562
-24 ||| russia france and israel the main \u0985\u09b8\u09cd\u09a4\u09cd\u09b0\u09b8\u09b0\u09ac\u09b0\u09be\u09b9\u0995\u09be\u09b0\u09c0 country and defence sub country . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-18.942 tm_pt_6=-9.742 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-1.738 tm_pt_10=-10.065 tm_pt_11=0.000 tm_pt_12=-6.534 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-38.535 lm_1=-26.552 WordPenalty=-6.514 OOVPenalty=-100.000 ||| -166.728
-24 ||| russia france and israel the main \u0985\u09b8\u09cd\u09a4\u09cd\u09b0\u09b8\u09b0\u09ac\u09b0\u09be\u09b9\u0995\u09be\u09b0\u09c0 country and defense sub country . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-18.530 tm_pt_6=-8.356 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-1.106 tm_pt_10=-10.471 tm_pt_11=0.000 tm_pt_12=-5.841 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=11.000 lm_0=-38.844 lm_1=-27.238 WordPenalty=-6.514 OOVPenalty=-100.000 ||| -166.746
-24 ||| russia france and israel the main \u0985\u09b8\u09cd\u09a4\u09cd\u09b0\u09b8\u09b0\u09ac\u09b0\u09be\u09b9\u0995\u09be\u09b0\u09c0 countries and defense sub country . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-9.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-19.426 tm_pt_6=-10.343 tm_pt_7=-9.000 tm_pt_8=-24.462 tm_pt_9=-1.474 tm_pt_10=-10.130 tm_pt_11=0.000 tm_pt_12=-5.933 tm_pt_13=0.000 tm_pt_14=-12.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=10.000 lm_0=-38.815 lm_1=-27.108 WordPenalty=-6.514 OOVPenalty=-100.000 ||| -167.457
-25 ||| this is the known imaginary formed with the help of which mathematics are real number set from \u09b8\u09c7\u099f\u09c7 par with the complex number . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-60.559 tm_pt_6=-22.004 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-6.553 tm_pt_10=-17.782 tm_pt_11=0.000 tm_pt_12=-5.911 tm_pt_13=0.000 tm_pt_14=-23.000 tm_pt_15=0.000 tm_pt_16=-1.000 tm_glue_0=9.000 lm_0=-50.351 lm_1=-44.022 WordPenalty=-11.292 OOVPenalty=-100.000 ||| -205.244
-25 ||| this is the known as imaginary formed with the help of which mathematics are real number set from \u09b8\u09c7\u099f\u09c7 par with the complex number . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-63.543 tm_pt_6=-22.038 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-5.553 tm_pt_10=-25.182 tm_pt_11=0.000 tm_pt_12=-8.041 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=0.000 tm_pt_16=-1.000 tm_glue_0=10.000 lm_0=-50.186 lm_1=-43.889 WordPenalty=-11.726 OOVPenalty=-100.000 ||| -205.568
-25 ||| this is the known imaginary formed with the help of which mathematics are real number set to \u09b8\u09c7\u099f\u09c7 par with the complex number . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-13.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-62.521 tm_pt_6=-22.883 tm_pt_7=-13.000 tm_pt_8=-35.334 tm_pt_9=-6.553 tm_pt_10=-19.587 tm_pt_11=0.000 tm_pt_12=-7.240 tm_pt_13=0.000 tm_pt_14=-23.000 tm_pt_15=0.000 tm_pt_16=-1.000 tm_glue_0=9.000 lm_0=-50.087 lm_1=-44.043 WordPenalty=-11.292 OOVPenalty=-100.000 ||| -206.559
-25 ||| this is the known imaginary formed with the help of which mathematics are set of real numbers from \u09b8\u09c7\u099f\u09c7 par with the complex number . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-60.947 tm_pt_6=-22.704 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-5.921 tm_pt_10=-18.256 tm_pt_11=0.000 tm_pt_12=-6.322 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=0.000 tm_pt_16=-2.000 tm_glue_0=9.000 lm_0=-49.282 lm_1=-46.640 WordPenalty=-11.726 OOVPenalty=-100.000 ||| -206.680
-25 ||| this is the known imaginary formed with the help of which mathematics are set of real numbers to \u09b8\u09c7\u099f\u09c7 par with the complex number . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-9.000 tm_pt_5=-62.909 tm_pt_6=-23.583 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-5.921 tm_pt_10=-20.060 tm_pt_11=0.000 tm_pt_12=-7.652 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=0.000 tm_pt_16=-2.000 tm_glue_0=9.000 lm_0=-48.838 lm_1=-46.153 WordPenalty=-11.726 OOVPenalty=-100.000 ||| -207.143
-26 ||| <address> ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-1.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-1.494 tm_pt_6=-38.184 tm_pt_7=-1.000 tm_pt_8=-2.718 tm_pt_9=-0.050 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=0.000 tm_pt_13=0.000 tm_pt_14=-1.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-4.240 lm_1=-3.850 WordPenalty=-1.303 OOVPenalty=0.000 ||| -18.437
-26 ||| < \u09a0\u09bf\u0995\u09be\u09a8\u09be > ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-2.000 tm_pt_5=-2.518 tm_pt_6=-29.231 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.000 tm_pt_10=-0.118 tm_pt_11=0.000 tm_pt_12=0.000 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=3.000 lm_0=-15.853 lm_1=-9.647 WordPenalty=-2.171 OOVPenalty=-100.000 ||| -132.757
-26 ||| the lt \u09a0\u09bf\u0995\u09be\u09a8\u09be > ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-2.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-6.362 tm_pt_6=-20.589 tm_pt_7=-2.000 tm_pt_8=-5.436 tm_pt_9=-0.135 tm_pt_10=-2.453 tm_pt_11=0.000 tm_pt_12=0.000 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=2.000 lm_0=-17.709 lm_1=-13.346 WordPenalty=-2.606 OOVPenalty=-200.000 ||| -238.041
-26 ||| < \u09a0\u09bf\u0995\u09be\u09a8\u09be , gt , ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-3.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-4.258 tm_pt_6=-15.720 tm_pt_7=-3.000 tm_pt_8=-8.154 tm_pt_9=-0.000 tm_pt_10=-5.328 tm_pt_11=0.000 tm_pt_12=-1.262 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-20.678 lm_1=-15.916 WordPenalty=-3.040 OOVPenalty=-200.000 ||| -239.649
-26 ||| < \u09a0\u09bf\u0995\u09be\u09a8\u09be , gt ; ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-3.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-3.201 tm_pt_6=-18.449 tm_pt_7=-3.000 tm_pt_8=-8.154 tm_pt_9=-0.000 tm_pt_10=-1.596 tm_pt_11=0.000 tm_pt_12=-1.248 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-21.561 lm_1=-15.792 WordPenalty=-3.040 OOVPenalty=-200.000 ||| -240.345
-26 ||| , lt , \u09a0\u09bf\u0995\u09be\u09a8\u09be > ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-3.000 tm_pt_3=0.000 tm_pt_4=-3.000 tm_pt_5=-4.245 tm_pt_6=-15.998 tm_pt_7=-3.000 tm_pt_8=-8.154 tm_pt_9=-0.000 tm_pt_10=-5.446 tm_pt_11=0.000 tm_pt_12=-1.262 tm_pt_13=0.000 tm_pt_14=-3.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=5.000 lm_0=-20.961 lm_1=-16.373 WordPenalty=-3.040 OOVPenalty=-200.000 ||| -240.688
-27 ||| september ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-1.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-0.176 tm_pt_6=-0.047 tm_pt_7=-1.000 tm_pt_8=-2.718 tm_pt_9=-0.000 tm_pt_10=-0.013 tm_pt_11=0.000 tm_pt_12=-0.025 tm_pt_13=0.000 tm_pt_14=-1.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-3.024 lm_1=-3.825 WordPenalty=-1.303 OOVPenalty=0.000 ||| -3.585
-27 ||| september . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-1.000 tm_pt_3=0.000 tm_pt_4=-1.000 tm_pt_5=-9.282 tm_pt_6=-0.716 tm_pt_7=-1.000 tm_pt_8=-2.718 tm_pt_9=-0.368 tm_pt_10=-1.099 tm_pt_11=0.000 tm_pt_12=-3.689 tm_pt_13=0.000 tm_pt_14=-2.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-4.832 lm_1=-5.754 WordPenalty=-1.737 OOVPenalty=0.000 ||| -10.126
-27 ||| \u09b8\u09c7\u09aa\u09cd\u099f\u09c7\u09ae\u09cd\u09ac\u09b0 ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=0.000 tm_pt_3=0.000 tm_pt_4=0.000 tm_pt_5=0.000 tm_pt_6=0.000 tm_pt_7=0.000 tm_pt_8=0.000 tm_pt_9=0.000 tm_pt_10=0.000 tm_pt_11=0.000 tm_pt_12=0.000 tm_pt_13=0.000 tm_pt_14=0.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=1.000 lm_0=-7.355 lm_1=-4.974 WordPenalty=-1.303 OOVPenalty=-100.000 ||| -109.443
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 to can not be rather it can be support . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-29.487 tm_pt_6=-24.381 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.525 tm_pt_10=-16.787 tm_pt_11=0.000 tm_pt_12=-5.740 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-36.059 lm_1=-28.266 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -172.006
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 against can not be rather it can be support . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-25.087 tm_pt_6=-23.283 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-1.575 tm_pt_10=-12.592 tm_pt_11=0.000 tm_pt_12=-4.353 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-37.068 lm_1=-30.729 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -172.727
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 opposed can not be rather it can be support . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-23.358 tm_pt_6=-23.283 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-2.525 tm_pt_10=-10.887 tm_pt_11=0.000 tm_pt_12=-5.740 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-37.843 lm_1=-30.003 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -173.285
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 to can not be rather it can be supported . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-6.000 tm_pt_5=-29.070 tm_pt_6=-23.889 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-3.524 tm_pt_10=-17.914 tm_pt_11=0.000 tm_pt_12=-7.821 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-35.106 lm_1=-28.266 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -173.391
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 against can not be but it can be support . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-27.960 tm_pt_6=-23.108 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-1.575 tm_pt_10=-14.990 tm_pt_11=0.000 tm_pt_12=-4.353 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=8.000 lm_0=-35.950 lm_1=-31.509 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -173.420
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 against can not be support rather it can be . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-25.087 tm_pt_6=-23.283 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-1.942 tm_pt_10=-13.423 tm_pt_11=0.000 tm_pt_12=-5.046 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-37.028 lm_1=-30.243 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -173.838
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 against can not be support but it can be . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-10.000 tm_pt_3=0.000 tm_pt_4=-7.000 tm_pt_5=-27.960 tm_pt_6=-23.108 tm_pt_7=-10.000 tm_pt_8=-27.180 tm_pt_9=-1.942 tm_pt_10=-15.821 tm_pt_11=0.000 tm_pt_12=-5.046 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=7.000 lm_0=-35.911 lm_1=-30.724 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -174.163
-28 ||| from this theory though big \u09ac\u09bf\u09b8\u09cd\u09ab\u09cb\u09b0\u09a3\u09cb\u09b0 protested can not be rather it can be support . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-11.000 tm_pt_3=0.000 tm_pt_4=-8.000 tm_pt_5=-23.293 tm_pt_6=-24.158 tm_pt_7=-11.000 tm_pt_8=-29.898 tm_pt_9=-1.525 tm_pt_10=-12.568 tm_pt_11=0.000 tm_pt_12=-6.573 tm_pt_13=0.000 tm_pt_14=-15.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=9.000 lm_0=-38.421 lm_1=-30.003 WordPenalty=-7.817 OOVPenalty=-100.000 ||| -174.388
-29 ||| agricultural in production france is the most important country ; it is \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-61.979 tm_pt_6=-21.379 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-3.566 tm_pt_10=-19.501 tm_pt_11=0.000 tm_pt_12=-6.075 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-60.198 lm_1=-49.635 WordPenalty=-12.160 OOVPenalty=-200.000 ||| -316.684
-29 ||| agricultural in production france is the most important country ; it basically \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-56.780 tm_pt_6=-21.542 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-3.477 tm_pt_10=-13.337 tm_pt_11=0.000 tm_pt_12=-5.633 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-63.240 lm_1=-49.990 WordPenalty=-12.160 OOVPenalty=-200.000 ||| -317.154
-29 ||| agricultural in production france country ; it is the most important mainly \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-11.000 tm_pt_5=-54.055 tm_pt_6=-20.128 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-3.477 tm_pt_10=-11.319 tm_pt_11=0.000 tm_pt_12=-3.338 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=12.000 lm_0=-62.879 lm_1=-50.811 WordPenalty=-12.160 OOVPenalty=-200.000 ||| -317.157
-29 ||| agricultural in production france is the most important country ; it mainly \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-15.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-57.050 tm_pt_6=-20.546 tm_pt_7=-15.000 tm_pt_8=-40.770 tm_pt_9=-3.474 tm_pt_10=-13.783 tm_pt_11=0.000 tm_pt_12=-4.113 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-63.884 lm_1=-49.990 WordPenalty=-12.160 OOVPenalty=-200.000 ||| -317.238
-29 ||| agriculture in production france is the most important country ; it is \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-14.000 tm_pt_3=0.000 tm_pt_4=-10.000 tm_pt_5=-62.243 tm_pt_6=-21.939 tm_pt_7=-14.000 tm_pt_8=-38.052 tm_pt_9=-2.838 tm_pt_10=-19.370 tm_pt_11=0.000 tm_pt_12=-7.203 tm_pt_13=0.000 tm_pt_14=-24.000 tm_pt_15=-1.000 tm_pt_16=0.000 tm_glue_0=12.000 lm_0=-60.690 lm_1=-49.635 WordPenalty=-12.160 OOVPenalty=-200.000 ||| -318.076
-29 ||| agricultural in production france is the most important country ; it is \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export the in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-16.000 tm_pt_3=0.000 tm_pt_4=-12.000 tm_pt_5=-65.187 tm_pt_6=-19.593 tm_pt_7=-16.000 tm_pt_8=-43.488 tm_pt_9=-3.560 tm_pt_10=-16.076 tm_pt_11=0.000 tm_pt_12=-5.939 tm_pt_13=0.000 tm_pt_14=-25.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=14.000 lm_0=-62.535 lm_1=-50.774 WordPenalty=-12.595 OOVPenalty=-200.000 ||| -318.715
-29 ||| agricultural in production france is the most important country ; it basically \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export the in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-16.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-59.988 tm_pt_6=-19.755 tm_pt_7=-16.000 tm_pt_8=-43.488 tm_pt_9=-3.470 tm_pt_10=-9.911 tm_pt_11=0.000 tm_pt_12=-5.497 tm_pt_13=0.000 tm_pt_14=-25.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-65.577 lm_1=-51.128 WordPenalty=-12.595 OOVPenalty=-200.000 ||| -319.185
-29 ||| agricultural in production france is the most important country ; it mainly \u0996\u09be\u09a6\u09cd\u09af\u09b6\u09b8\u09cd\u09af wine cheese and other \u0995\u09c3\u09b7\u09bf\u09a6\u09cd\u09b0\u09ac\u09cd\u09af europe and export the in the whole world . ||| tm_pt_0=0.000 tm_pt_1=0.000 tm_pt_2=-16.000 tm_pt_3=0.000 tm_pt_4=-13.000 tm_pt_5=-60.258 tm_pt_6=-18.760 tm_pt_7=-16.000 tm_pt_8=-43.488 tm_pt_9=-3.468 tm_pt_10=-10.358 tm_pt_11=0.000 tm_pt_12=-3.977 tm_pt_13=0.000 tm_pt_14=-25.000 tm_pt_15=0.000 tm_pt_16=0.000 tm_glue_0=15.000 lm_0=-66.221 lm_1=-51.128 WordPenalty=-12.595 OOVPenalty=-200.000 ||| -319.268
-30 ||| their
<TRUNCATED>
[4/4] incubator-joshua git commit: Merge branch 'fhieber-classlm'
Posted by mj...@apache.org.
Merge branch 'fhieber-classlm'
Project: http://git-wip-us.apache.org/repos/asf/incubator-joshua/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-joshua/commit/2b5b4dc0
Tree: http://git-wip-us.apache.org/repos/asf/incubator-joshua/tree/2b5b4dc0
Diff: http://git-wip-us.apache.org/repos/asf/incubator-joshua/diff/2b5b4dc0
Branch: refs/heads/master
Commit: 2b5b4dc0d0ad4edb2c83867df37b9cc0cf903eb4
Parents: a06a015 8fc7544
Author: Matt Post <po...@cs.jhu.edu>
Authored: Wed Jun 22 16:56:09 2016 -0400
Committer: Matt Post <po...@cs.jhu.edu>
Committed: Wed Jun 22 16:56:09 2016 -0400
----------------------------------------------------------------------
.../apache/joshua/decoder/ff/lm/ClassMap.java | 73 +
.../joshua/decoder/ff/lm/LanguageModelFF.java | 146 +-
.../ff/lm/StateMinimizingLanguageModel.java | 125 +-
.../class_lm/ClassBasedLanguageModelTest.java | 71 +
.../decoder/ff/lm/class_lm/ClassMapTest.java | 67 +
.../resources/bn-en/hiero/joshua-classlm.config | 4 +-
.../resources/bn-en/hiero/output-classlm.gold | 1565 +++---
src/test/resources/lm/class_lm/class.map | 5140 ++++++++++++++++++
.../resources/lm/class_lm/class_lm_9gram.gz | Bin 0 -> 12733137 bytes
9 files changed, 6355 insertions(+), 836 deletions(-)
----------------------------------------------------------------------