python-pynlpl 1.1.2-1 source package in Ubuntu

Changelog

python-pynlpl (1.1.2-1) unstable; urgency=medium

  * New upstream release (1.1.2)

 -- Maarten van Gompel <email address hidden>  Mon, 02 Jan 2017 12:22:00 +0200

Upload details

Uploaded by:
Debian Science Team on 2017-01-02
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 universe misc
Disco release on 2018-10-30 universe misc
Cosmic release on 2018-05-01 universe misc
Bionic release on 2017-10-24 universe misc
Artful release on 2017-04-20 universe misc

Builds

Zesty: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-pynlpl_1.1.2-1.dsc 2.2 KiB a566df8ea4bc69c44179ca97184825b714e1d31953bf4f33a3c194f01fd0a4e1
python-pynlpl_1.1.2.orig.tar.gz 232.5 KiB b7b73ca2d0b2719a9e8f18c12ba3d48c309fa785a8dccbe13abf83ef727e06a4
python-pynlpl_1.1.2-1.debian.tar.xz 3.7 KiB 17e2d84009c7562e0e445b00fdf8576efda686d9b6ea83a1ea245e25c3a15787

Available diffs

No changes file available.

Binary packages built by this source

python-pynlpl: No summary available for python-pynlpl in ubuntu zesty.

No description available for python-pynlpl in ubuntu zesty.

python3-pynlpl: PyNLPl is a library for Natural Language Processing (Python 3 version)

 PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language
 Processing. It contains various modules useful for common, and less common,
 NLP tasks. PyNLPl can be used for basic tasks such as the extraction of
 n-grams and frequency lists, and to build simple language models. It also
 contains complex data types and algorithms. Moreover, it includes parsers for
 file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL) and clients
 to interface with various NLP specific servers. PyNLPl most notably features a
 very extensive library for working with FoLiA XML (Format for Linguistic
 Annotation).
 .
 This is the Python 3 version.