Create an AE for training the HMM Tagger models
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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
JVM:
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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