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From "Fabien POULARD (JIRA)" <...@uima.apache.org>
Subject [jira] Created: (UIMA-1833) Create an AE for training the HMM Tagger models
Date Thu, 08 Jul 2010 17:13:50 GMT
Create an AE for training the HMM Tagger models

                 Key: UIMA-1833
                 URL: https://issues.apache.org/jira/browse/UIMA-1833
             Project: UIMA
          Issue Type: Improvement
          Components: Sandbox-Tagger
         Environment: OS:
Debian Linux Squeeze 64bits
java version "1.6.0_20"
Java(TM) SE Runtime Environment (build 1.6.0_20-b02)
Java HotSpot(TM) 64-Bit Server VM (build 16.3-b01, mixed mode)
            Reporter: Fabien POULARD
            Priority: Minor
             Fix For: 2.3CE

There is a class to train a model for the HMM Tagger out of a corpus. However, this is a standalone
application that does not take advantage of the UIMA capabilities. It would be better to train
such a model thanks to an analysis engine.

A training CPE would be like :
 1- a collection reader loading the gold standard corpus
 2- the HMM Tagger model trainer analysis engine that would browse some specific annotation,
extract the material to feed the learning algorithm and finally export a model file.

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