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Memory-based Shallow Parser for Python

  • Smedt T
  • Asch V
  • Daelemans W
Computational Linguistics & Psycholinguistics Research Center, (2010) 1-41
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Abstract

MBSP is a text analysis system based on the TiMBL and MBT memory based learning applications developed at CLiPS and ILK. It provides tools for Tokenization and Sentence Splitting, Part of Speech Tagging, Chunking, Lemmatization, Relation Finding and Prepositional Phrase Attachment. The Python implementation of MBSP is open source and freely available.

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Smedt, T. D., Asch, V. V., & Daelemans, W. (2010). Memory-based Shallow Parser for Python. Wall Street Journal (pp. 1–41). Retrieved from http://www.clips.ua.ac.be/memory-based-shallow-parser-for-python

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