MBSP is a set of linguistic tools based on the TiMBL and MBT memory based learning applications developed at CNTS and ILK. It provides tools for Part of Speech tagging, Chunking, Lemmatizing, Relation Finding, Named Entity Recognition, and (for medical language) Semantic tagging.
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.
An elegantly simple and robust machine-learning method, based on the combination of ideas from a number of MBL implementations, resulting in a useful tool for NLP research.