Source: snowball Section: libs Priority: optional Maintainer: Stefano Rivera Build-Depends: debhelper-compat (= 13), snowball-data (>= 0+20210120) Build-Depends-Indep: dh-sequence-python3, python3-all, python3-setuptools, Standards-Version: 4.6.1 Homepage: https://snowballstem.org/ Vcs-Git: https://salsa.debian.org/debian/snowball.git Vcs-Browser: https://salsa.debian.org/debian/snowball Rules-Requires-Root: no Package: libstemmer0d Architecture: any Pre-Depends: ${misc:Pre-Depends} Depends: ${misc:Depends}, ${shlibs:Depends} Multi-Arch: same Description: Snowball stemming algorithms for use in Information Retrieval Snowball 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". . Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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: libstemmer-dev Section: libdevel Architecture: any Depends: libstemmer0d (= ${binary:Version}), ${misc:Depends} Multi-Arch: same Description: Snowball stemming algorithms, development kit Snowball 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". . Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments. . This package contains the static library and header files used in development. Package: libstemmer-tools Section: text Architecture: any Multi-Arch: foreign Depends: ${misc:Depends}, ${shlibs:Depends} Description: Simple word stemming utility using Snowball Snowball 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". . Snowball provides algorithms for several (mainly European) languages. 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. . This package contains "stemwords", a simple utility for stemming words. Package: python3-snowballstemmer Section: python Architecture: all Depends: ${misc:Depends}, ${python3:Depends} Suggests: python3-stemmer Description: Pure Python Snowball stemming library Snowball 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". . Snowball provides algorithms for several (mainly European) languages. 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. . This package contains the pure Python module that implements Snowball algorithms. When python3-stemmer package (which contains the C extension) is installed, it uses that extension instead of the pure Python code.