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📁 ..	-	2026-03-27 02:38
📄 COPYING Copyright (c) 2001, Dr Martin Porter Copyright (c) 2004,2005, Richard Boulton Copyright (c) 2013, Yoshiki Shibukawa Copyright (c) 2006,2007,2009,2010,2011,2014-2019, Olly Betts All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the Snowball project nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.	1.62 KB	2026-01-20 12:58
📄 INSTALLER pip	4 B	2026-01-20 12:58
📄 METADATA Metadata-Version: 2.1 Name: snowballstemmer Version: 2.2.0 Summary: This package provides 29 stemmers for 28 languages generated from Snowball algorithms. Home-page: https://github.com/snowballstem/snowball Author: Snowball Developers Author-email: snowball-discuss@lists.tartarus.org License: BSD-3-Clause Keywords: stemmer Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: BSD License Classifier: Natural Language :: Arabic Classifier: Natural Language :: Basque Classifier: Natural Language :: Catalan Classifier: Natural Language :: Danish Classifier: Natural Language :: Dutch Classifier: Natural Language :: English Classifier: Natural Language :: Finnish Classifier: Natural Language :: French Classifier: Natural Language :: German Classifier: Natural Language :: Greek Classifier: Natural Language :: Hindi Classifier: Natural Language :: Hungarian Classifier: Natural Language :: Indonesian Classifier: Natural Language :: Irish Classifier: Natural Language :: Italian Classifier: Natural Language :: Lithuanian Classifier: Natural Language :: Nepali Classifier: Natural Language :: Norwegian Classifier: Natural Language :: Portuguese Classifier: Natural Language :: Romanian Classifier: Natural Language :: Russian Classifier: Natural Language :: Serbian Classifier: Natural Language :: Spanish Classifier: Natural Language :: Swedish Classifier: Natural Language :: Tamil Classifier: Natural Language :: Turkish Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.6 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Topic :: Database Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search Classifier: Topic :: Text Processing :: Indexing Classifier: Topic :: Text Processing :: Linguistic Description-Content-Type: text/x-rst License-File: COPYING Snowball stemming library collection for Python =============================================== Python 3 (>= 3.3) is supported. We no longer actively support Python 2 as the Python developers stopped supporting it at the start of 2020. Snowball 2.1.0 was the last release to officially support Python 2. What is Stemming? ----------------- Stemming maps different forms of the same word to a common "stem" - for example, the English stemmer maps connection, connections, connective, connected, and connecting to connect. So a searching for connected would also find documents which only have the other forms. This stem form is often a word itself, but this is not always the case as this is not a requirement for text search systems, which are the intended field of use. We also aim to conflate words with the same meaning, rather than all words with a common linguistic root (so awe and awful don't have the same stem), and over-stemming is more problematic than under-stemming so we tend not to stem in cases that are hard to resolve. If you want to always reduce words to a root form and/or get a root form which is itself a word then Snowball's stemming algorithms likely aren't the right answer. How to use library ------------------ The ``snowballstemmer`` module has two functions. The ``snowballstemmer.algorithms`` function returns a list of available algorithm names. The ``snowballstemmer.stemmer`` function takes an algorithm name and returns a ``Stemmer`` object. ``Stemmer`` objects have a ``Stemmer.stemWord(word)`` method and a ``Stemmer.stemWords(word[])`` method. .. code-block:: python import snowballstemmer stemmer = snowballstemmer.stemmer('english'); print(stemmer.stemWords("We are the world".split())); Automatic Acceleration ---------------------- `PyStemmer <https://pypi.org/project/PyStemmer/>`_ is a wrapper module for Snowball's ``libstemmer_c`` and should provide results 100% compatible to snowballstemmer. PyStemmer is faster because it wraps generated C versions of the stemmers; snowballstemmer uses generate Python code and is slower but offers a pure Python solution. If PyStemmer is installed, ``snowballstemmer.stemmer`` returns a ``PyStemmer`` ``Stemmer`` object which provides the same ``Stemmer.stemWord()`` and ``Stemmer.stemWords()`` methods. Benchmark ~~~~~~~~~ This is a crude benchmark which measures the time for running each stemmer on every word in its sample vocabulary (10,787,583 words over 26 languages). It's not a realistic test of normal use as a real application would do much more than just stemming. It's also skewed towards the stemmers which do more work per word and towards those with larger sample vocabularies. * Python 2.7 + snowballstemmer : 13m00s (15.0 * PyStemmer) * Python 3.7 + snowballstemmer : 12m19s (14.2 * PyStemmer) * PyPy 7.1.1 (Python 2.7.13) + snowballstemmer : 2m14s (2.6 * PyStemmer) * PyPy 7.1.1 (Python 3.6.1) + snowballstemmer : 1m46s (2.0 * PyStemmer) * Python 2.7 + PyStemmer : 52s For reference the equivalent test for C runs in 9 seconds. These results are for Snowball 2.0.0. They're likely to evolve over time as the code Snowball generates for both Python and C continues to improve (for a much older test over a different set of stemmers using Python 2.7, snowballstemmer was 30 times slower than PyStemmer, or 9 times slower with PyPy). The message to take away is that if you're stemming a lot of words you should either install PyStemmer (which snowballstemmer will then automatically use for you as described above) or use PyPy. The TestApp example ------------------- The ``testapp.py`` example program allows you to run any of the stemmers on a sample vocabulary. Usage:: testapp.py <algorithm> "sentences ... " .. code-block:: bash $ python testapp.py English "sentences... "	6.31 KB	2026-01-20 12:58
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📄 REQUESTED	0 B	2026-01-20 12:58
📄 WHEEL Wheel-Version: 1.0 Generator: bdist_wheel (0.34.2) Root-Is-Purelib: true Tag: py2-none-any Tag: py3-none-any	110 B	2026-01-20 12:58
📄 top_level.txt snowballstemmer	16 B	2026-01-20 12:58

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