snowball stemming algorithms, for information retrieval
Project homepage: https://pypi.org/project/pystemmer
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for english: although this has been superseded by an improved algorithm,
the original algorithm may be of interest to information retrieval
researchers wishing to reproduce results of earlier experiments.
Package information
- Ports path
- textproc/py-stemmer
- Package architecture
- amd64
- Maintainer
- The OpenBSD ports mailing-list <ports@openbsd.org>
- Categories
- textproc, lang/python
- Available flavors
- None listed
- Only for architectures
- aarch64, amd64, arm, i386, mips64, mips64el, powerpc, powerpc64, riscv64, sparc64, alpha, hppa
Ports list build and test dependencies as well as runtime dependencies. pkg_add selects those needed for installation.
Direct dependencies
Library
Runtime
Build
- lang/cython
- lang/python/3
- devel/py-build
- devel/py-installer
- devel/py-setuptools py3-setuptools->=79v0
- devel/py-wheel
Test
Used by (1 dependency relationships)
Includes library, runtime, build and test dependencies.