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64 lines
2.0 KiB
Plaintext
64 lines
2.0 KiB
Plaintext
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Metadata-Version: 2.0
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Name: snowballstemmer
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Version: 1.2.1
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Summary: This package provides 16 stemmer algorithms (15 + Poerter English stemmer) generated from Snowball algorithms.
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Home-page: https://github.com/shibukawa/snowball_py
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Author: Yoshiki Shibukawa
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Author-email: yoshiki at shibu.jp
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License: BSD
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Keywords: stemmer
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Platform: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: Python
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Classifier: Natural Language :: Danish
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Classifier: Natural Language :: Dutch
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Classifier: Natural Language :: English
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Classifier: Natural Language :: Finnish
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Classifier: Natural Language :: French
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Classifier: Natural Language :: German
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Classifier: Natural Language :: Hungarian
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Classifier: Natural Language :: Italian
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Classifier: Natural Language :: Norwegian
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Classifier: Natural Language :: Portuguese
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Classifier: Natural Language :: Romanian
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Classifier: Natural Language :: Russian
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Classifier: Natural Language :: Spanish
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Classifier: Natural Language :: Swedish
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Classifier: Natural Language :: Turkish
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Classifier: Operating System :: OS Independent
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Classifier: Programming Language :: Python :: 2.5
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Classifier: Programming Language :: Python :: 2.6
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3.3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: Implementation :: PyPy
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Classifier: Topic :: Database
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Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
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Classifier: Topic :: Text Processing :: Indexing
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Classifier: Topic :: Text Processing :: Linguistic
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It includes following language algorithms:
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* Danish
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* Dutch
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* English (Standard, Porter)
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* Finnish
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* French
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* German
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* Hungarian
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* Italian
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* Norwegian
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* Portuguese
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* Romanian
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* Russian
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* Spanish
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* Swedish
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* Turkish
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This is a pure Python stemming library. If `PyStemmer <http://pypi.python.org/pypi/PyStemmer>`_ is available, this module uses
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it to accelerate.
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