[jira] [Commented] (OPENNLP-1366) Training of MaxEnt Model with large corpora fails with java.io.UTFDataFormatException

["Martin Wiesner (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/OPENNLP-1366?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17618295#comment-17618295 ] 

Martin Wiesner commented on OPENNLP-1366:
-----------------------------------------

For completeness, it also affects OpenNLP latest release {*}2.0.0{*}. 

I have written a patch for this recently in which [~struberg] helped conceptually in a joint session. 
Might provide a PR towards 2.0.1 soon. The build, incl. all tests, is passing just fine. The problem as reported above and on StOf is gone with the patch.

@ [~jzemerick] Should I upload a patch file upfront, so you can read/check first? Same question applies for Mark.

>  Training of MaxEnt Model with large corpora fails with java.io.UTFDataFormatException
> --------------------------------------------------------------------------------------
>
>                 Key: OPENNLP-1366
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1366
>             Project: OpenNLP
>          Issue Type: Improvement
>          Components: Lemmatizer
>    Affects Versions: 1.9.4
>            Reporter: Richard Zowalla
>            Assignee: Jeff Zemerick
>            Priority: Major
>
> As written on [dev@opennlp.a.o|[https://lists.apache.org/thread/vc5lfzj81tco703noqxpvy8sfj8fw8b1]], we are working on training a large opennlp maxent model for lemmatizing
> German texts. We use a wikipedia tree bank from Tübingen.
> This consumes > 2 TB of RAM during training but will finish after some time. However, writing this model will result in a  java.io.UTFDataFormatException 
> However, training such a big model isn't feasable for debugging. Gladly, a similar with a smaller dataset is found on Stackoverflow: [https://stackoverflow.com/questions/70064477/opennlp-lemmatizertrainer-utfdataformatexception-encoded-string-too-long] 
> It contains the OpenNLP CLI command to train a lemmatizer on a much smaller dataset.
> The stacktrace is raced while writing a String as UTF in DataOutputStream, which has a hard-coded size limitation in the JDK (for reasons behind my knowledge ;))
> Stacktrace:
> {code:java}
> java.io.UTFDataFormatException: encoded string too long: 383769 bytes
>         at java.base/java.io.DataOutputStream.writeUTF(DataOutputStream.java:364)
>         at java.base/java.io.DataOutputStream.writeUTF(DataOutputStream.java:323)
>         at opennlp.tools.ml.maxent.io.BinaryGISModelWriter.writeUTF(BinaryGISModelWriter.java:71)
>         at opennlp.tools.ml.maxent.io.GISModelWriter.persist(GISModelWriter.java:97)
>         at opennlp.tools.ml.model.GenericModelWriter.persist(GenericModelWriter.java:75)
>         at opennlp.tools.util.model.ModelUtil.writeModel(ModelUtil.java:71)
>         at opennlp.tools.util.model.GenericModelSerializer.serialize(GenericModelSerializer.java:36)
>         at opennlp.tools.util.model.GenericModelSerializer.serialize(GenericModelSerializer.java:29)
>         at opennlp.tools.util.model.BaseModel.serialize(BaseModel.java:597)
>         at opennlp.tools.cmdline.CmdLineUtil.writeModel(CmdLineUtil.java:182)
>         at opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool.run(LemmatizerTrainerTool.java:77)
>         at opennlp.tools.cmdline.CLI.main(CLI.java:256) {code}



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