[UIMA-1833] Create an AE for training the HMM Tagger models

• Type: Improvement
• Status: Closed
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: 2.3.1Addons
• Component/s: 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)

• Assignee: Fabien POULARD
• Reporter: Fabien POULARD
• Created: 08/Jul/10 17:13
• Updated: 06/Apr/11 10:18
• Resolved: 06/Apr/11 10:18

Description

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.