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  1. UIMA
  2. UIMA-1833

Create an AE for training the HMM Tagger models

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Details

    • Improvement
    • Status: Closed
    • Minor
    • Resolution: Fixed
    • None
    • 2.3.1Addons
    • Sandbox-Tagger
    • None
    • 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)

    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.

      Attachments

        1. model-trainer-ae.patch
          11 kB
          Fabien POULARD

        Activity

          People

            grdscarabe Fabien POULARD
            grdscarabe Fabien POULARD
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            Dates

              Created:
              Updated:
              Resolved: