You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@opennlp.apache.org by jk...@apache.org on 2014/03/22 05:10:08 UTC
svn commit: r1580150 -
/opennlp/trunk/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java
Author: jkosin
Date: Sat Mar 22 04:10:08 2014
New Revision: 1580150
URL: http://svn.apache.org/r1580150
Log:
OPENNLP-669 Fixed @links... and http reference.
Modified:
opennlp/trunk/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java
Modified: opennlp/trunk/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java
URL: http://svn.apache.org/viewvc/opennlp/trunk/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java?rev=1580150&r1=1580149&r2=1580150&view=diff
==============================================================================
--- opennlp/trunk/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java (original)
+++ opennlp/trunk/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java Sat Mar 22 04:10:08 2014
@@ -42,7 +42,7 @@ import opennlp.tools.util.model.ModelUti
* Maximum Entropy to make its decisions. The features are loosely
* based off of Jeff Reynar's UPenn thesis "Topic Segmentation:
* Algorithms and Applications.", which is available from his
- * homepage: <http://www.cis.upenn.edu/~jcreynar>.
+ * homepage: <a href="http://www.cis.upenn.edu/~jcreynar">http://www.cis.upenn.edu/~jcreynar</a>.
* <p>
* This tokenizer needs a statistical model to tokenize a text which reproduces
* the tokenization observed in the training data used to create the model.
@@ -268,7 +268,7 @@ public class TokenizerME extends Abstrac
* Or if reading from the {@link ObjectStream} fails.
*
* @deprecated Use
- * {@link #train(String, ObjectStream, TokenizerFactory, TrainingParameters)}
+ * {@link #train(ObjectStream, TokenizerFactory, TrainingParameters)}
* and pass in a {@link TokenizerFactory}
*/
public static TokenizerModel train(String languageCode, ObjectStream<TokenSample> samples,
@@ -293,7 +293,7 @@ public class TokenizerME extends Abstrac
* Or if reading from the {@link ObjectStream} fails.
*
* @deprecated Use
- * {@link #train(String, ObjectStream, TokenizerFactory, TrainingParameters)}
+ * {@link #train(ObjectStream, TokenizerFactory, TrainingParameters)}
* and pass in a {@link TokenizerFactory}
*/
public static TokenizerModel train(String languageCode,
@@ -334,7 +334,7 @@ public class TokenizerME extends Abstrac
*
*
* @deprecated Use
- * {@link #train(String, ObjectStream, TokenizerFactory, TrainingParameters)}
+ * {@link #train(ObjectStream, TokenizerFactory, TrainingParameters)}
* and pass in a {@link TokenizerFactory}
*/
public static TokenizerModel train(String languageCode, ObjectStream<TokenSample> samples,