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Posted to commits@opennlp.apache.org by rz...@apache.org on 2023/01/17 19:21:19 UTC
[opennlp] branch main updated: OPENNLP-1444 Fix typos scattered in all packages
This is an automated email from the ASF dual-hosted git repository.
rzo1 pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/opennlp.git
The following commit(s) were added to refs/heads/main by this push:
new 56c64194 OPENNLP-1444 Fix typos scattered in all packages
56c64194 is described below
commit 56c641947b78d1ce909e4bb666118ba94995b03a
Author: Martin Wiesner <ma...@hs-heilbronn.de>
AuthorDate: Fri Jan 13 17:47:55 2023 +0100
OPENNLP-1444 Fix typos scattered in all packages
- fixes several typos
- improves clarity of existing code and JavaDoc
---
.../java/opennlp/bratann/NameFinderAnnService.java | 2 +-
.../tools/entitylinker/EntityLinkerProperties.java | 6 +++---
.../tools/formats/brat/BratAnnotationStream.java | 2 +-
.../leipzig/LeipzigLanguageSampleStreamFactory.java | 2 +-
.../opennlp/tools/formats/muc/MucNameSampleStream.java | 2 +-
.../opennlp/tools/langdetect/LanguageDetectorME.java | 2 +-
.../src/main/java/opennlp/tools/ml/TrainerFactory.java | 2 +-
.../opennlp/tools/ml/model/TwoPassDataIndexer.java | 6 +++---
.../src/main/java/opennlp/tools/ngram/NGramUtils.java | 2 +-
.../src/main/java/opennlp/tools/postag/POSModel.java | 5 +----
.../src/main/java/opennlp/tools/postag/POSTagger.java | 2 +-
.../java/opennlp/tools/postag/POSTaggerFactory.java | 2 +-
.../java/opennlp/tools/tokenize/TokenizerFactory.java | 4 ++--
.../main/java/opennlp/tools/tokenize/TokenizerME.java | 4 ++--
.../java/opennlp/tools/tokenize/TokenizerModel.java | 2 +-
.../main/java/opennlp/tools/tokenize/lang/Factory.java | 9 ++++-----
.../src/main/java/opennlp/tools/util/TokenTag.java | 8 ++++----
.../featuregen/PreviousTwoMapFeatureGenerator.java | 2 +-
.../opennlp/tools/tokenize/TokenizerFactoryTest.java | 18 +++++++++---------
.../java/opennlp/uima/doccat/DocumentCategorizer.java | 2 +-
.../src/main/java/opennlp/uima/parser/Parser.java | 4 ++--
.../src/main/java/opennlp/uima/tokenize/Tokenizer.java | 4 ++--
.../src/main/java/opennlp/uima/util/OpennlpUtil.java | 4 ++--
23 files changed, 46 insertions(+), 50 deletions(-)
diff --git a/opennlp-brat-annotator/src/main/java/opennlp/bratann/NameFinderAnnService.java b/opennlp-brat-annotator/src/main/java/opennlp/bratann/NameFinderAnnService.java
index 80a8265b..097659b0 100644
--- a/opennlp-brat-annotator/src/main/java/opennlp/bratann/NameFinderAnnService.java
+++ b/opennlp-brat-annotator/src/main/java/opennlp/bratann/NameFinderAnnService.java
@@ -78,7 +78,7 @@ public class NameFinderAnnService {
} else if ("simple".equals(args[ruleBasedTokenizerIndex])) {
tokenizer = SimpleTokenizer.INSTANCE;
} else {
- System.out.println("unkown tokenizer: " + args[ruleBasedTokenizerIndex]);
+ System.out.println("unknown tokenizer: " + args[ruleBasedTokenizerIndex]);
return;
}
}
diff --git a/opennlp-tools/src/main/java/opennlp/tools/entitylinker/EntityLinkerProperties.java b/opennlp-tools/src/main/java/opennlp/tools/entitylinker/EntityLinkerProperties.java
index 0e0a53a1..fab8c4b3 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/entitylinker/EntityLinkerProperties.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/entitylinker/EntityLinkerProperties.java
@@ -36,13 +36,13 @@ public class EntityLinkerProperties {
/**
* Initializes {@link EntityLinkerProperties} via a {@link File} reference.
*
- * @param propertiesfile The {@link File} that references the {@code *.properties}
+ * @param propertiesFile The {@link File} that references the {@code *.properties}
* configuration.
*
* @throws IOException Thrown if IO errors occurred.
*/
- public EntityLinkerProperties(File propertiesfile) throws IOException {
- try (InputStream stream = new BufferedInputStream(new FileInputStream(propertiesfile))) {
+ public EntityLinkerProperties(File propertiesFile) throws IOException {
+ try (InputStream stream = new BufferedInputStream(new FileInputStream(propertiesFile))) {
init(stream);
}
}
diff --git a/opennlp-tools/src/main/java/opennlp/tools/formats/brat/BratAnnotationStream.java b/opennlp-tools/src/main/java/opennlp/tools/formats/brat/BratAnnotationStream.java
index 7edf4d9d..bad47c9e 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/formats/brat/BratAnnotationStream.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/formats/brat/BratAnnotationStream.java
@@ -233,7 +233,7 @@ public class BratAnnotationStream implements ObjectStream<BratAnnotation> {
throw new InvalidFormatException("annotation id is empty");
}
- // The first leter of the annotation id marks the annotation type
+ // The first letter of the annotation id marks the annotation type
final BratAnnotationParser parser;
switch (annId.charAt(0)) {
diff --git a/opennlp-tools/src/main/java/opennlp/tools/formats/leipzig/LeipzigLanguageSampleStreamFactory.java b/opennlp-tools/src/main/java/opennlp/tools/formats/leipzig/LeipzigLanguageSampleStreamFactory.java
index b344de74..4b3b769d 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/formats/leipzig/LeipzigLanguageSampleStreamFactory.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/formats/leipzig/LeipzigLanguageSampleStreamFactory.java
@@ -43,7 +43,7 @@ public class LeipzigLanguageSampleStreamFactory<P>
interface Parameters extends EncodingParameter {
@ParameterDescription(valueName = "sentencesDir",
- description = "dir with Leipig sentences to be used")
+ description = "dir with Leipzig sentences to be used")
File getSentencesDir();
@ParameterDescription(valueName = "sentencesPerSample",
diff --git a/opennlp-tools/src/main/java/opennlp/tools/formats/muc/MucNameSampleStream.java b/opennlp-tools/src/main/java/opennlp/tools/formats/muc/MucNameSampleStream.java
index a2ab8346..f9a8bbc0 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/formats/muc/MucNameSampleStream.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/formats/muc/MucNameSampleStream.java
@@ -55,7 +55,7 @@ public class MucNameSampleStream extends FilterObjectStream<String, NameSample>
if (document != null) {
- // Note: This is a hack to fix invalid formating in
+ // Note: This is a hack to fix invalid formatting in
// some MUC files ...
document = document.replace(">>", ">");
diff --git a/opennlp-tools/src/main/java/opennlp/tools/langdetect/LanguageDetectorME.java b/opennlp-tools/src/main/java/opennlp/tools/langdetect/LanguageDetectorME.java
index 5679252a..395702ff 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/langdetect/LanguageDetectorME.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/langdetect/LanguageDetectorME.java
@@ -43,7 +43,7 @@ import opennlp.tools.util.TrainingParameters;
* <p>
* If you want this to stop early, use {@link #probingPredictLanguages(CharSequence)}
* or {@link #probingPredictLanguages(CharSequence, LanguageDetectorConfig)}.
- * When run in probing mode, this starts at the beginning of the charsequence
+ * When run in probing mode, this starts at the beginning of the char sequence
* and runs language detection on chunks of text. If the end of the
* string is reached or there are {@link LanguageDetectorConfig#getMinConsecImprovements()}
* consecutive predictions for the best language and the confidence
diff --git a/opennlp-tools/src/main/java/opennlp/tools/ml/TrainerFactory.java b/opennlp-tools/src/main/java/opennlp/tools/ml/TrainerFactory.java
index c1acba40..9e46367a 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/ml/TrainerFactory.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/ml/TrainerFactory.java
@@ -234,7 +234,7 @@ public class TrainerFactory {
return false;
}
- // no reason to require that the dataIndexer be a 1-pass or 2-pass dataindexer.
+ // no reason to require that the dataIndexer be a 1-pass or 2-pass data indexer.
trainParams.getStringParameter(AbstractEventTrainer.DATA_INDEXER_PARAM, null);
// TODO: Check data indexing ...
diff --git a/opennlp-tools/src/main/java/opennlp/tools/ml/model/TwoPassDataIndexer.java b/opennlp-tools/src/main/java/opennlp/tools/ml/model/TwoPassDataIndexer.java
index cbce6831..9eec6026 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/ml/model/TwoPassDataIndexer.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/ml/model/TwoPassDataIndexer.java
@@ -175,9 +175,9 @@ public class TwoPassDataIndexer extends AbstractDataIndexer {
public Event read() throws IOException {
if (inputStream.available() != 0) {
String outcome = inputStream.readUTF();
- int contextLenght = inputStream.readInt();
- String[] context = new String[contextLenght];
- for (int i = 0; i < contextLenght; i++)
+ int contextLength = inputStream.readInt();
+ String[] context = new String[contextLength];
+ for (int i = 0; i < contextLength; i++)
context[i] = inputStream.readUTF();
int valuesLength = inputStream.readInt();
float[] values = null;
diff --git a/opennlp-tools/src/main/java/opennlp/tools/ngram/NGramUtils.java b/opennlp-tools/src/main/java/opennlp/tools/ngram/NGramUtils.java
index dd3e19b3..269fa1bb 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/ngram/NGramUtils.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/ngram/NGramUtils.java
@@ -103,7 +103,7 @@ public class NGramUtils {
* @param x1 the second word in the bigram
* @param set the vocabulary
* @param k the smoothing factor
- * @return the prior Laplace smoothiing probability
+ * @return the prior Laplace smoothing probability
*/
public static double calculateBigramPriorSmoothingProbability(String x0, String x1,
Collection<StringList> set, Double k) {
diff --git a/opennlp-tools/src/main/java/opennlp/tools/postag/POSModel.java b/opennlp-tools/src/main/java/opennlp/tools/postag/POSModel.java
index adcf1db3..5fe9b333 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/postag/POSModel.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/postag/POSModel.java
@@ -68,10 +68,7 @@ public final class POSModel extends BaseModel implements SerializableArtifact {
Objects.requireNonNull(posModel, "posModel must not be null"));
artifactMap.put(GENERATOR_DESCRIPTOR_ENTRY_NAME, posFactory.getFeatureGenerator());
-
- for (Map.Entry<String, Object> resource : posFactory.getResources().entrySet()) {
- artifactMap.put(resource.getKey(), resource.getValue());
- }
+ artifactMap.putAll(posFactory.getResources());
// TODO: This fails probably for the sequence model ... ?!
// checkArtifactMap();
diff --git a/opennlp-tools/src/main/java/opennlp/tools/postag/POSTagger.java b/opennlp-tools/src/main/java/opennlp/tools/postag/POSTagger.java
index 6f1661a7..b930dfee 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/postag/POSTagger.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/postag/POSTagger.java
@@ -47,7 +47,7 @@ public interface POSTagger {
*
* @param sentence The sentence of tokens to be tagged.
*
- * @return An array of {@link Sequence sequeneces} for each token provided in {@code sentence}.
+ * @return An array of {@link Sequence sequences} for each token provided in {@code sentence}.
*/
Sequence[] topKSequences(String[] sentence);
diff --git a/opennlp-tools/src/main/java/opennlp/tools/postag/POSTaggerFactory.java b/opennlp-tools/src/main/java/opennlp/tools/postag/POSTaggerFactory.java
index 8f022704..f8e4017c 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/postag/POSTaggerFactory.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/postag/POSTaggerFactory.java
@@ -293,7 +293,7 @@ public class POSTaggerFactory extends BaseToolFactory {
public POSContextGenerator getPOSContextGenerator(int cacheSize) {
if (artifactProvider != null) {
- Properties manifest = (Properties) artifactProvider.getArtifact("manifest.properties");
+ Properties manifest = artifactProvider.getArtifact("manifest.properties");
String version = manifest.getProperty("OpenNLP-Version");
Version v = Version.parse(version);
diff --git a/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerFactory.java b/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerFactory.java
index ca75071c..5ebd2d99 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerFactory.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerFactory.java
@@ -115,7 +115,7 @@ public class TokenizerFactory extends BaseToolFactory {
Map<String, String> manifestEntries = super.createManifestEntries();
manifestEntries.put(USE_ALPHA_NUMERIC_OPTIMIZATION,
- Boolean.toString(isUseAlphaNumericOptmization()));
+ Boolean.toString(isUseAlphaNumericOptimization()));
// alphanumeric pattern is optional
if (getAlphaNumericPattern() != null) {
@@ -188,7 +188,7 @@ public class TokenizerFactory extends BaseToolFactory {
/**
* @return {@code true} if the alphanumeric optimization is enabled, otherwise {@code false}.
*/
- public boolean isUseAlphaNumericOptmization() {
+ public boolean isUseAlphaNumericOptimization() {
if (artifactProvider != null) {
this.useAlphaNumericOptimization = Boolean.valueOf(this.artifactProvider
.getManifestProperty(USE_ALPHA_NUMERIC_OPTIMIZATION));
diff --git a/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java b/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java
index 2d141402..a76f3a8c 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java
@@ -137,7 +137,7 @@ public class TokenizerME extends AbstractTokenizer {
this.alphanumeric = factory.getAlphaNumericPattern();
this.cg = factory.getContextGenerator();
this.model = model.getMaxentModel();
- this.useAlphaNumericOptimization = factory.isUseAlphaNumericOptmization();
+ this.useAlphaNumericOptimization = factory.isUseAlphaNumericOptimization();
newTokens = new ArrayList<>();
tokProbs = new ArrayList<>(50);
@@ -247,7 +247,7 @@ public class TokenizerME extends AbstractTokenizer {
Map<String, String> manifestInfoEntries = new HashMap<>();
ObjectStream<Event> eventStream = new TokSpanEventStream(samples,
- factory.isUseAlphaNumericOptmization(),
+ factory.isUseAlphaNumericOptimization(),
factory.getAlphaNumericPattern(), factory.getContextGenerator());
EventTrainer trainer = TrainerFactory.getEventTrainer(
diff --git a/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java b/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java
index 201107aa..2e664e02 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java
@@ -161,7 +161,7 @@ public final class TokenizerModel extends BaseModel {
* @return {@code true} if alphanumeric optimization is active, {@code false} otherwise.
*/
public boolean useAlphaNumericOptimization() {
- return getFactory() != null && getFactory().isUseAlphaNumericOptmization();
+ return getFactory() != null && getFactory().isUseAlphaNumericOptimization();
}
@Override
diff --git a/opennlp-tools/src/main/java/opennlp/tools/tokenize/lang/Factory.java b/opennlp-tools/src/main/java/opennlp/tools/tokenize/lang/Factory.java
index fb153178..171613a8 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/tokenize/lang/Factory.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/tokenize/lang/Factory.java
@@ -28,13 +28,12 @@ public class Factory {
public static final String DEFAULT_ALPHANUMERIC = "^[A-Za-z0-9]+$";
/**
- * Gets the alpha numeric pattern for the language. Please save the value
+ * Gets the alphanumeric pattern for the language. Please save the value
* locally because this call is expensive.
*
- * @param languageCode
- * the language code. If null or unknow the default pattern will be
- * returned.
- * @return the alpha numeric pattern for the language or the default pattern.
+ * @param languageCode The language code. If {@code null}, or unknown,
+ * the default pattern will be returned.
+ * @return The alphanumeric pattern for the language or the default pattern.
*/
public Pattern getAlphanumeric(String languageCode) {
if ("pt".equals(languageCode) || "por".equals(languageCode)) {
diff --git a/opennlp-tools/src/main/java/opennlp/tools/util/TokenTag.java b/opennlp-tools/src/main/java/opennlp/tools/util/TokenTag.java
index a3e1ca77..b48250c6 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/util/TokenTag.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/util/TokenTag.java
@@ -27,11 +27,11 @@ public class TokenTag {
private final String tag;
private final String[] additionalData;
- public TokenTag(String token, String tag, String[] addtionalData) {
+ public TokenTag(String token, String tag, String[] additionalData) {
this.token = token;
this.tag = tag;
- if (addtionalData != null) {
- this.additionalData = Arrays.copyOf(addtionalData, addtionalData.length);
+ if (additionalData != null) {
+ this.additionalData = Arrays.copyOf(additionalData, additionalData.length);
} else {
this.additionalData = null;
}
@@ -89,7 +89,7 @@ public class TokenTag {
@Override
public int hashCode() {
- return Objects.hash(token, tag, additionalData);
+ return Objects.hash(token, tag, Arrays.hashCode(additionalData));
}
@Override
diff --git a/opennlp-tools/src/main/java/opennlp/tools/util/featuregen/PreviousTwoMapFeatureGenerator.java b/opennlp-tools/src/main/java/opennlp/tools/util/featuregen/PreviousTwoMapFeatureGenerator.java
index 4661c60b..0c59e2d4 100644
--- a/opennlp-tools/src/main/java/opennlp/tools/util/featuregen/PreviousTwoMapFeatureGenerator.java
+++ b/opennlp-tools/src/main/java/opennlp/tools/util/featuregen/PreviousTwoMapFeatureGenerator.java
@@ -23,7 +23,7 @@ import java.util.Map;
/**
* This {@link AdaptiveFeatureGenerator} generates features indicating the
- * outcome associated with two previously occuring words.
+ * outcome associated with two previously occurring words.
*/
public class PreviousTwoMapFeatureGenerator implements AdaptiveFeatureGenerator {
diff --git a/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerFactoryTest.java b/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerFactoryTest.java
index 3a747c4c..9978f27d 100644
--- a/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerFactoryTest.java
+++ b/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerFactoryTest.java
@@ -77,7 +77,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertFalse(factory.isUseAlphaNumericOptmization());
+ Assertions.assertFalse(factory.isUseAlphaNumericOptimization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
@@ -92,7 +92,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertFalse(factory.isUseAlphaNumericOptmization());
+ Assertions.assertFalse(factory.isUseAlphaNumericOptimization());
}
@Test
@@ -110,7 +110,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertFalse(factory.isUseAlphaNumericOptmization());
+ Assertions.assertFalse(factory.isUseAlphaNumericOptimization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
@@ -125,7 +125,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(Factory.DEFAULT_ALPHANUMERIC, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertFalse(factory.isUseAlphaNumericOptmization());
+ Assertions.assertFalse(factory.isUseAlphaNumericOptimization());
}
@Test
@@ -145,7 +145,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertTrue(factory.isUseAlphaNumericOptmization());
+ Assertions.assertTrue(factory.isUseAlphaNumericOptimization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
@@ -159,7 +159,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertTrue(factory.isUseAlphaNumericOptmization());
+ Assertions.assertTrue(factory.isUseAlphaNumericOptimization());
}
@Test
@@ -178,7 +178,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertTrue(factory.isUseAlphaNumericOptmization());
+ Assertions.assertTrue(factory.isUseAlphaNumericOptimization());
ByteArrayOutputStream out = new ByteArrayOutputStream();
model.serialize(out);
@@ -192,7 +192,7 @@ public class TokenizerFactoryTest {
Assertions.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
Assertions.assertEquals(lang, model.getLanguage());
- Assertions.assertTrue(factory.isUseAlphaNumericOptmization());
+ Assertions.assertTrue(factory.isUseAlphaNumericOptimization());
}
@Test
@@ -209,6 +209,6 @@ public class TokenizerFactoryTest {
Assertions.assertTrue(factory.getContextGenerator() instanceof DummyContextGenerator);
Assertions.assertEquals(pattern, factory.getAlphaNumericPattern().pattern());
Assertions.assertEquals(lang, factory.getLanguageCode());
- Assertions.assertTrue(factory.isUseAlphaNumericOptmization());
+ Assertions.assertTrue(factory.isUseAlphaNumericOptimization());
}
}
diff --git a/opennlp-uima/src/main/java/opennlp/uima/doccat/DocumentCategorizer.java b/opennlp-uima/src/main/java/opennlp/uima/doccat/DocumentCategorizer.java
index f57be0b3..6a3ca174 100644
--- a/opennlp-uima/src/main/java/opennlp/uima/doccat/DocumentCategorizer.java
+++ b/opennlp-uima/src/main/java/opennlp/uima/doccat/DocumentCategorizer.java
@@ -40,7 +40,7 @@ public class DocumentCategorizer extends AbstractDocumentCategorizer {
public void typeSystemInit(TypeSystem typeSystem)
throws AnalysisEngineProcessException {
- // get category type and feature (it a document propery, one object with a feature)
+ // get category type and feature (it a document property, one object with a feature)
mCategoryType = AnnotatorUtil.getRequiredTypeParameter(getContext(), typeSystem,
"opennlp.uima.doccat.CategoryType");
diff --git a/opennlp-uima/src/main/java/opennlp/uima/parser/Parser.java b/opennlp-uima/src/main/java/opennlp/uima/parser/Parser.java
index 2217d55c..62338e96 100644
--- a/opennlp-uima/src/main/java/opennlp/uima/parser/Parser.java
+++ b/opennlp-uima/src/main/java/opennlp/uima/parser/Parser.java
@@ -318,9 +318,9 @@ public class Parser extends CasAnnotator_ImplBase {
mIndexMap.get(start), mIndexMap.get(end)), parseFromTagger.getType(),
parseFromTagger.getProb(), parseFromTagger.getHeadIndex());
- Parse[] parseFromTaggerChildrens = parseFromTagger.getChildren();
+ Parse[] parseFromTaggerChildren = parseFromTagger.getChildren();
- for (Parse child : parseFromTaggerChildrens) {
+ for (Parse child : parseFromTaggerChildren) {
transformedParse.insert(transformParseFromTagger(child));
}
diff --git a/opennlp-uima/src/main/java/opennlp/uima/tokenize/Tokenizer.java b/opennlp-uima/src/main/java/opennlp/uima/tokenize/Tokenizer.java
index b5582412..e2af1eb9 100644
--- a/opennlp-uima/src/main/java/opennlp/uima/tokenize/Tokenizer.java
+++ b/opennlp-uima/src/main/java/opennlp/uima/tokenize/Tokenizer.java
@@ -123,11 +123,11 @@ public final class Tokenizer extends AbstractTokenizer {
AnnotationFS[] tokenAnnotations) {
// if interest
if (probabilityFeature != null) {
- double[] tokenProbabilties = tokenizer.getTokenProbabilities();
+ double[] tokenProbabilities = tokenizer.getTokenProbabilities();
for (int i = 0; i < tokenAnnotations.length; i++) {
tokenAnnotations[i].setDoubleValue(probabilityFeature,
- tokenProbabilties[i]);
+ tokenProbabilities[i]);
}
}
}
diff --git a/opennlp-uima/src/main/java/opennlp/uima/util/OpennlpUtil.java b/opennlp-uima/src/main/java/opennlp/uima/util/OpennlpUtil.java
index 2a0e7409..30c039ec 100644
--- a/opennlp-uima/src/main/java/opennlp/uima/util/OpennlpUtil.java
+++ b/opennlp-uima/src/main/java/opennlp/uima/util/OpennlpUtil.java
@@ -88,14 +88,14 @@ final public class OpennlpUtil {
* @return The {@link TrainingParameters} that have been read.
*
* @throws ResourceInitializationException Thrown if IO errors occurred or the {@code inFileValue}
- * does not reference a valid trainging parameters file.
+ * does not reference a valid training parameters file.
*/
public static TrainingParameters loadTrainingParams(String inFileValue,
boolean isSequenceTrainingAllowed) throws ResourceInitializationException {
TrainingParameters params;
if (inFileValue != null) {
- try (InputStream paramsIn = new FileInputStream(new File(inFileValue))) {
+ try (InputStream paramsIn = new FileInputStream(inFileValue)) {
params = new opennlp.tools.util.TrainingParameters(paramsIn);
} catch (IOException e) {
throw new ResourceInitializationException(e);