python-jieba 0.39-5 source package in Ubuntu
Changelog
python-jieba (0.39-5) unstable; urgency=medium
* Rebuild for Ubuntu 20.04 LTS.
* debian/patches: Backport upstream commits till 20190701.
* debian/control:
+ Bump Standards-Version to 4.4.1.
-- Boyuan Yang <email address hidden> Mon, 23 Dec 2019 12:16:55 -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 | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-jieba_0.39-5.dsc | 2.0 KiB | 55e928eea7c3c7a62ba202687f1c971974dbb4452a00a5d3d50cbd64bdebb10c |
| python-jieba_0.39.orig.tar.gz | 11.8 MiB | 20a8759f90be798c1f78238972b2908e289cac024b59c8a6e541499a5247462b |
| python-jieba_0.39-5.debian.tar.xz | 5.3 KiB | d2867fbe568f17edeec6c0ff1cde609295cf1c06e17aa38512c755d63eebd3bd |
Available diffs
- diff from 0.39-4 to 0.39-5 (1.7 KiB)
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.
