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mbt Documentation

3.2.5-3

memory-based tagger-generator and tagger for natural language processing
MBT is a memory-based tagger-generator and tagger in one. The tagger-generator
part can generate a sequence tagger on the basis of a training set of tagged
sequences; the tagger part can tag new sequences. MBT can, for instance, be
used to generate part-of-speech taggers or chunkers for natural language
processing. Features:
* Tagger generation: tagged text in, tagger out,
* Optional feedback loop: feed previous tag decision back to input of next
decision,
* Easily customizable feature representation; can incorporate user-provided
features,
* Automatic generation of separate sub-taggers for known words and unknown
words,
* Can make use of full algorithmic parameters of TiMBL.
.
MBT is a product of the ILK Research Group (Tilburg University, The
Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
.
If you do scientific research in natural language processing, MBT will
likely be of use to you.
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