Ubuntu
python-jieba package

python-jieba 0.42.1-5 source package in Ubuntu

Changelog

python-jieba (0.42.1-5) unstable; urgency=medium

  * QA upload.
  * Orphan the package.

 -- Boyuan Yang <email address hidden>  Sat, 09 Mar 2024 21:13:11 -0500

Upload details

Uploaded by:
Debian QA Group
Uploaded to:
Sid
Original maintainer:
Debian QA Group
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

Builds

Oracular: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-jieba_0.42.1-5.dsc 2.0 KiB d29dd9ba442f920ad5e361f35496b9304776f626c4fda2372e3f3fc79ec24b93
python-jieba_0.42.1.orig.tar.gz 23.3 MiB 607dd88ab9ac78b09d475cf19a3729539beaaecdf42fd5e46f933ffaedaa428e
python-jieba_0.42.1-5.debian.tar.xz 3.5 KiB 829d612707f2a42abf2bd4eb52bd12b23158b461034ff2262de4287ac7462d15

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.