python-jieba 0.42.1-4 source package in Ubuntu

Changelog

python-jieba (0.42.1-4) unstable; urgency=medium

  * Rebuild before Ubuntu 24.04 release.
  * debian/patches/0001-Avoid-imp-module-use-importlib-instead.patch:
    Fix compatibility with Python 3.12. (Closes: #1061753)
  * debian/control: Bump Standards-Version to 4.6.2.

 -- Boyuan Yang <email address hidden>  Mon, 05 Feb 2024 12:46:49 -0500

Upload details

Uploaded by:
Debian Chinese Team
Uploaded to:
Sid
Original maintainer:
Debian Chinese Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-jieba_0.42.1-4.dsc 2.1 KiB 6ae5c7c34696d77192f7830a863a9fada2dc1a4559f78b33050167042cab0e88
python-jieba_0.42.1.orig.tar.gz 23.3 MiB 607dd88ab9ac78b09d475cf19a3729539beaaecdf42fd5e46f933ffaedaa428e
python-jieba_0.42.1-4.debian.tar.xz 3.5 KiB 9f9177ab2d077cb8b1d6a062bf29ef430d155099947e3611754352a19dd1a76c

Available diffs

No changes file available.

Binary packages built by this source

python-jieba-doc: 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.

python3-jieba: 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.