python-jieba 0.42.1-3 source package in Ubuntu

Changelog

python-jieba (0.42.1-3) unstable; urgency=medium

  * Rebuild before Ubuntu 22.04 release.
  * Bump Standards-Version to 4.6.0.
  * debian/watch: Use uscan-recommended format.

 -- Boyuan Yang <email address hidden>  Mon, 17 Jan 2022 09:30:04 -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
Mantic release universe misc
Lunar release universe misc
Jammy release universe misc

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-jieba_0.42.1-3.dsc 2.1 KiB b164572f6a23793211e219f9c12e214f8b7dbe7476fb60642c172efc4dca89a8
python-jieba_0.42.1.orig.tar.gz 23.3 MiB 607dd88ab9ac78b09d475cf19a3729539beaaecdf42fd5e46f933ffaedaa428e
python-jieba_0.42.1-3.debian.tar.xz 3.2 KiB 5a9c35c84d6f30e5523fbc76b77f4cc0cda34cf5be2bdcbe287ac0ca60de1996

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.