Richard Zowalla created OPENNLP-1366:
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Summary: 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
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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