pystemmer 1.3.0+dfsg-1.2build1 source package in Ubuntu
Changelog
pystemmer (1.3.0+dfsg-1.2build1) focal; urgency=medium * No-change rebuild to build with python3.8. -- Matthias Klose <email address hidden> Fri, 18 Oct 2019 18:42:28 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Focal
- Original maintainer:
- Debian Python Modules Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pystemmer_1.3.0+dfsg.orig.tar.gz | 232.1 KiB | d0b37d73a50447089c0725ffee751a5d4a0b0456c4eac962d1edd5bc9f984bec |
pystemmer_1.3.0+dfsg-1.2build1.debian.tar.xz | 5.6 KiB | 34e9cfba93870e9fac987a8617c22ba648cce78c2831c9e62d756056d7e0650b |
pystemmer_1.3.0+dfsg-1.2build1.dsc | 2.5 KiB | 3c42281337f1f855d2b1beb79825ad970153ca228f1ac23515e7be32bfd1620f |
Available diffs
Binary packages built by this source
- python-stemmer: Python bindings for libstemmer - snowball stemming algorithms
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although this has been superseded by an improved algorithm, the original
algorithm may be of interest to information retrieval researchers wishing to
reproduce results of earlier experiments.
- python-stemmer-dbg: Python bindings for libstemmer (debug extension)
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.
.
PyStemmer provides algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python module.
.
This package contains the extensions built for the Python debug interpreter.
- python-stemmer-doc: No summary available for python-stemmer-doc in ubuntu focal.
No description available for python-stemmer-doc in ubuntu focal.
- python3-stemmer: Python 3 bindings for libstemmer - snowball stemming algorithms
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 3
module.
.
It also provides access to the classic Porter stemming algorithm for English:
although this has been superseded by an improved algorithm, the original
algorithm may be of interest to information retrieval researchers wishing to
reproduce results of earlier experiments.
- python3-stemmer-dbg: Python 3 bindings for libstemmer (debug extension)
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.
.
PyStemmer provides algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python 3
module.
.
This package contains the extensions built for the Python 3 debug interpreter.