1Metadata-Version: 2.1 2Name: PyStemmer 3Version: 2.0.1 4Summary: Snowball stemming algorithms, for information retrieval 5Home-page: https://github.com/snowballstem/pystemmer/ 6Author: Richard Boulton 7Author-email: richard@tartarus.org 8Maintainer: Richard Boulton 9Maintainer-email: richard@tartarus.org 10License: MIT, BSD 11Keywords: python,information retrieval,language processing,morphological analysis,stemming algorithms,stemmers 12Platform: any 13Classifier: Development Status :: 5 - Production/Stable 14Classifier: Intended Audience :: Developers 15Classifier: License :: OSI Approved :: MIT License 16Classifier: License :: OSI Approved :: BSD License 17Classifier: Natural Language :: Danish 18Classifier: Natural Language :: Dutch 19Classifier: Natural Language :: English 20Classifier: Natural Language :: Finnish 21Classifier: Natural Language :: French 22Classifier: Natural Language :: German 23Classifier: Natural Language :: Italian 24Classifier: Natural Language :: Norwegian 25Classifier: Natural Language :: Portuguese 26Classifier: Natural Language :: Russian 27Classifier: Natural Language :: Spanish 28Classifier: Natural Language :: Swedish 29Classifier: Operating System :: OS Independent 30Classifier: Programming Language :: C 31Classifier: Programming Language :: Other 32Classifier: Programming Language :: Python 33Classifier: Programming Language :: Python :: 2 34Classifier: Programming Language :: Python :: 2.6 35Classifier: Programming Language :: Python :: 2.7 36Classifier: Programming Language :: Python :: 3 37Classifier: Programming Language :: Python :: 3.2 38Classifier: Programming Language :: Python :: 3.3 39Classifier: Programming Language :: Python :: 3.4 40Classifier: Programming Language :: Python :: 3.5 41Classifier: Programming Language :: Python :: 3.6 42Classifier: Programming Language :: Python :: 3.7 43Classifier: Topic :: Database 44Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search 45Classifier: Topic :: Text Processing :: Indexing 46Classifier: Topic :: Text Processing :: Linguistic 47License-File: LICENSE 48License-File: AUTHORS 49 50Stemming algorithms 51 52PyStemmer provides access to efficient algorithms for calculating a 53"stemmed" form of a word. This is a form with most of the common 54morphological endings removed; hopefully representing a common 55linguistic base form. This is most useful in building search engines 56and information retrieval software; for example, a search with stemming 57enabled should be able to find a document containing "cycling" given the 58query "cycles". 59 60PyStemmer provides algorithms for several (mainly european) languages, 61by wrapping the libstemmer library from the Snowball project in a Python 62module. 63 64It also provides access to the classic Porter stemming algorithm for 65english: although this has been superseded by an improved algorithm, the 66original algorithm may be of interest to information retrieval 67researchers wishing to reproduce results of earlier experiments. 68 69