MBSP for Python 1.4

Memory-Based Shallow Parser for Python

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 (PP) attachment.

• Author: Tom De Smedt, Vincent Van Asch, Walter Daelemans
• Home Page: http://www.clips.ua.ac.be/pages/MBSP
• Download URL: http://www.clips.ua.ac.be/media/MBSP_1.4.zip
• Keywords: NLP, CL, natural language processing, computational linguistics, parsing, tagging, tokenization, syntax, linguistics
• Categories
  • Development Status :: 4 - Beta
  • Intended Audience :: Developers
  • Intended Audience :: Education
  • Intended Audience :: Information Technology
  • Intended Audience :: Science/Research
  • License :: OSI Approved :: GNU General Public License (GPL)
  • Natural Language :: English
  • Operating System :: MacOS :: MacOS X
  • Operating System :: POSIX :: Linux
  • Programming Language :: Python :: 2.5
  • Topic :: Scientific/Engineering :: Artificial Intelligence
  • Topic :: Scientific/Engineering :: Human Machine Interfaces
  • Topic :: Scientific/Engineering :: Information Analysis
  • Topic :: Text Processing
  • Topic :: Text Processing :: Linguistic
• Package Index Owner: tomdesmedt
• DOAP record: MBSP for Python-1.4.xml