Brilliant! I first updated to OpenNLP 1.5.2 RC6, but the error remained the same.
I then switched to en-chunker.bin as you suggested and my program now works as expected. Thanks a lot for your help Jörn and your prompt responses. regards, Ben >________________________________ >From: Jörn Kottmann <kottm...@gmail.com> >To: opennlp-users@incubator.apache.org >Sent: Wednesday, 16 November 2011, 0:08 >Subject: Re: How to use the chunker Java ? > >That is the model you need: >http://opennlp.sourceforge.net/models-1.5/en-chunker.bin > >Jörn > >On 11/16/11 1:03 AM, Jörn Kottmann wrote: >> Hello, >> >> the error message is really unclear about the actual problem. >> You are trying to load the parser model into the chunker, please >> get the model for the chunker from the model download page. >> >> I think it is called en-chunk.bin, you can also get the CONLL2000 >> data in case you would like to train it yourself. >> >> We fixed this strange error message already in the 1.5.2 version, >> which we are currently trying to get released. >> >> In case you would like to try it you can find it here: >> http://people.apache.org/~joern/releases/opennlp-1.5.2-incubating/rc6/ >> >> The documentation in it also contains a sample on how to use the >> Chunker API. >> >> Hope this helps, >> Jörn >> >> On 11/16/11 12:53 AM, Ben Rhelp wrote: >>> Hi all, >>> >>> I am trying to find out how to use the Java API for the chunker. >>> >>> Below is the console output of my failed attempt (My test program is >>> further down in the body of this email). >>> >>> >>> Any idea on what I am doing wrong? >>> >>> >>> thanks in advance, >>> >>> Ben >>> >>> >>> Console output: >>> >>> ------------------------------------ >>> Token Part-Of-Speech >>> Most JJS >>> large JJ >>> cities NNS >>> in IN >>> the DT >>> US NNP >>> had VBD >>> morning NN >>> and CC >>> afternoon NN >>> newspapers NNS >>> . . >>> opennlp.tools.util.InvalidFormatException: Unkown artifact format: >>> postagger >>> at opennlp.tools.util.model.BaseModel.<init>(BaseModel.java:132) >>> at opennlp.tools.chunker.ChunkerModel.<init>(ChunkerModel.java:60) >>> at ChunkerTest.main(ChunkerTest.java:55) >>> Exception in thread "main" java.lang.NullPointerException >>> at opennlp.tools.chunker.ChunkerME.<init>(ChunkerME.java:77) >>> at opennlp.tools.chunker.ChunkerME.<init>(ChunkerME.java:93) >>> at opennlp.tools.chunker.ChunkerME.<init>(ChunkerME.java:106) >>> at opennlp.tools.chunker.ChunkerME.<init>(ChunkerME.java:116) >>> at ChunkerTest.main(ChunkerTest.java:71) >>> >>> >>> >>> My test program: >>> >>> import opennlp.tools.postag.POSModel; >>> import opennlp.tools.postag.POSTaggerME; >>> import opennlp.tools.chunker.ChunkerModel; >>> import opennlp.tools.chunker.ChunkerME; >>> >>> import java.io.*; >>> >>> public class ChunkerTest { >>> private static final String POSTAGGER = >>> "C:\\Users\\Ben\\Desktop\\BenSave\\NPLmodels\\en-pos-maxent.bin"; >>> private static final String CHUNKER = >>> "C:\\Users\\Ben\\Desktop\\BenSave\\NPLmodels\\en-parser-chunking.bin"; >>> public static void main(String[] args) throws IOException { >>> InputStream modelIn4 = null; >>> POSModel modelPostTagger = null; >>> >>> try { >>> modelIn4 = new FileInputStream(POSTAGGER); >>> modelPostTagger = new POSModel(modelIn4); >>> } >>> catch (IOException e) { >>> // Model loading failed, handle the error >>> e.printStackTrace(); >>> } >>> finally { >>> if (modelIn4 != null) { >>> try { >>> modelIn4.close(); >>> } >>> catch (IOException e) { >>> } >>> } >>> } >>> >>> POSTaggerME myTagger = new POSTaggerME(modelPostTagger); >>> String sent[] = new String[]{"Most", "large", "cities", >>> "in", "the", "US", "had", >>> "morning", "and", "afternoon", "newspapers", >>> "."}; String tags1[] = myTagger.tag(sent); >>> >>> System.out.println("------------------------------------"); >>> System.out.println("Token\tPart-Of-Speech"); >>> for (int i=0; i< tags1.length;i++) { >>> System.out.println(sent[i]+"\t"+tags1[i]); >>> } >>> >>> /*---------------------------------------------------------*/ >>> InputStream modelIn5 = new FileInputStream(CHUNKER); >>> ChunkerModel modelChunker = null; >>> >>> try { >>> modelChunker = new ChunkerModel(modelIn5); >>> } >>> catch (IOException e) { >>> // Model loading failed, handle the error >>> e.printStackTrace(); >>> } >>> finally { >>> if (modelIn5 != null) { >>> try { >>> modelIn5.close(); >>> } >>> catch (IOException e) { >>> } >>> } >>> } >>> ChunkerME chunker = new ChunkerME(modelChunker); >>> String tags2[] = chunker.chunk(sent, tags1); >>> System.out.println("------------------------------------"); >>> System.out.println("Token\tPart-Of-Speech\tChunks"); >>> for (int i=0; i< tags2.length;i++) { >>> System.out.println(sent[i]+"\t"+tags1[i]+"\t"+tags2[i]); >>> } >>> System.out.println("------------------------------------"); >>> } >>> >>> } >> > > > >
