Source: python-jieba Section: python Priority: optional Maintainer: Debian Chinese Team Uploaders: Yangfl , Boyuan Yang , Build-Depends: debhelper-compat (= 12), dh-python, python3, python3-setuptools, Rules-Requires-Root: no Standards-Version: 4.3.0 Homepage: https://github.com/fxsjy/jieba Vcs-Git: https://salsa.debian.org/chinese-team/python-jieba.git Vcs-Browser: https://salsa.debian.org/chinese-team/python-jieba Package: python-jieba-doc Architecture: all Section: doc Depends: ${misc:Depends}, Multi-Arch: foreign Description: Jieba Chinese text segmenter (common documentation) "Jieba" (Chinese for "to stutter")is a high-accuracy Chinese text segmenteran based on HMM-model and Viterbi algorithm. It uses dynamic programming to find the most probable combination based on the word frequency. . This is the common documentation package. Package: python3-jieba Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, Suggests: python-jieba-doc, Description: Jieba Chinese text segmenter (Python 3) "Jieba" (Chinese for "to stutter")is a high-accuracy Chinese text segmenteran based on HMM-model and Viterbi algorithm. It uses dynamic programming to find the most probable combination based on the word frequency. . It supports three types of segmentation mode: * Accurate Mode attempts to cut the sentence into the most accurate segmentations, which is suitable for text analysis. * Full Mode gets all the possible words from the sentence. Fast but not accurate. * Search Engine Mode, based on the Accurate Mode, attempts to cut long words into several short words, which can raise the recall rate. Suitable for search engines. Traditional Chinese and customized dictionaries are also supported. . This package installs the library for Python 3.