Difference between revisions of "PyStemmer"
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{{Entry | {{Entry | ||
|Name=PyStemmer | |Name=PyStemmer | ||
| − | |Short description= | + | |Short description=Python stemming library using snowball stemmers |
|Full description=PyStemmer provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module. It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments. | |Full description=PyStemmer provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module. It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments. | ||
| − | + | |Homepage URL=https://github.com/snowballstem/pystemmer | |
| − | + | |Is High Priority Project=No | |
| − | + | |VCS checkout command=git clone git://github.com/snowballstem/pystemmer.git | |
| − | |Homepage URL= | ||
| − | |VCS checkout command= | ||
|Computer languages=Python | |Computer languages=Python | ||
| − | | | + | |Decommissioned or Obsolete=No |
| − | + | |Related projects=Snowball | |
| − | |||
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| − | |Related projects= | ||
|Keywords=language,tree,algorithm,algorithms,linguistic analysis,linguistics,morphology | |Keywords=language,tree,algorithm,algorithms,linguistic analysis,linguistics,morphology | ||
| − | | | + | |Version identifier=1.3.0 |
| − | |Last review by= | + | |Version date=2013/02/25 |
| − | |Last review date= | + | |Version status=stable |
| + | |Version download=https://github.com/snowballstem/pystemmer/archive/master.zip | ||
| + | |Last review by=Bendikker | ||
| + | |Last review date=2018/04/03 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
| − | | | + | |User level=advanced |
| − | | | + | |Accepts cryptocurrency donations=No |
| − | | | + | |Test entry=No |
| − | | | + | |Is GNU=No |
| + | }} | ||
| + | {{Project license | ||
| + | |License=BSD_3Clause | ||
| + | |License verified by=Kelly Hopkins | ||
| + | |License verified date=2009-10-01 | ||
| + | }} | ||
| + | {{Project license | ||
| + | |License=Expat | ||
| + | |License verified by=Kelly Hopkins | ||
|License verified date=2009-10-01 | |License verified date=2009-10-01 | ||
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}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=Richard Boulton | ||
|Role=Maintainer | |Role=Maintainer | ||
| − | |||
|Email=richard@tartarus.org | |Email=richard@tartarus.org | ||
| − | |||
}} | }} | ||
{{Resource | {{Resource | ||
| − | |Resource audience= | + | |Resource audience=Python (Ref) |
| − | + | |Resource URL=https://pypi.org/project/PyStemmer | |
| − | |Resource URL= | ||
}} | }} | ||
{{Resource | {{Resource | ||
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|Resource kind=Homepage | |Resource kind=Homepage | ||
|Resource URL=http://snowball.tartarus.org/download.php | |Resource URL=http://snowball.tartarus.org/download.php | ||
| + | }} | ||
| + | {{Resource | ||
| + | |Resource audience=Developer | ||
| + | |Resource kind=Bug Tracking Subscribe | ||
| + | |Resource URL=https://github.com/snowballstem/pystemmer | ||
}} | }} | ||
{{Software category | {{Software category | ||
| − | |Interface=command-line,library | + | |Interface=command-line, library |
|Programming-language=python | |Programming-language=python | ||
|Software-development=programming-language | |Software-development=programming-language | ||
|Use=software-development | |Use=software-development | ||
}} | }} | ||
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Latest revision as of 22:00, 16 March 2020
PyStemmer
https://github.com/snowballstem/pystemmer
Python stemming library using snowball stemmers
PyStemmer provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module. It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Richard Boulton | Maintainer |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Python (Ref) | https://pypi.org/project/PyStemmer | |
| Developer | Bug Tracking Subscribe | https://github.com/snowballstem/pystemmer |
| Developer | Homepage | http://snowball.tartarus.org/download.php |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.