{ "info": { "author": "Tom De Smedt, Vincent Van Asch, Walter Daelemans", "author_email": "", "bugtrack_url": null, "classifiers": [ "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" ], "description": "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.", "description_content_type": null, "docs_url": null, "download_url": "http://www.clips.ua.ac.be/media/MBSP_1.4.zip", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://www.clips.ua.ac.be/pages/MBSP", "keywords": "NLP, CL, natural language processing, computational linguistics, parsing, tagging, tokenization, syntax, linguistics", "license": "", "maintainer": "", "maintainer_email": "tom@organisms.be", "name": "MBSP-for-Python", "package_url": "https://pypi.org/project/MBSP-for-Python/", "platform": "", "project_url": "https://pypi.org/project/MBSP-for-Python/", "project_urls": { "Download": "http://www.clips.ua.ac.be/media/MBSP_1.4.zip", "Homepage": "http://www.clips.ua.ac.be/pages/MBSP" }, "release_url": "https://pypi.org/project/MBSP-for-Python/1.4/", "requires_dist": null, "requires_python": null, "summary": "Memory-Based Shallow Parser for Python", "version": "1.4" }, "last_serial": 710388, "releases": { "1.2": [], "1.4": [] }, "urls": [] }