memory-based tagger-generator and tagger

 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 Centre of Language and Speech Technology (Radboud
 University Nijmegen, The Netherlands), 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.