PyNLPl 1.2.9

Description:

PyNLPl 1.2.9

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 model. There are also more
complex data types and algorithms. Moreover, there are parsers for file formats
common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to
interface with various NLP specific servers. PyNLPl most notably features a
very extensive library for working with FoLiA XML (Format for Linguistic
Annotatation).
The library is a divided into several packages and modules. It works on Python
2.7, as well as Python 3.
The following modules are available:

pynlpl.datatypes - Extra datatypes (priority queues, patterns, tries)
pynlpl.evaluation - Evaluation & experiment classes (parameter search, wrapped
progressive sampling, class evaluation (precision/recall/f-score/auc), sampler, confusion matrix, multithreaded experiment pool)
pynlpl.formats.cgn - Module for parsing CGN (Corpus Gesproken Nederlands) part-of-speech tags
pynlpl.formats.folia - Extensive library for reading and manipulating the
documents in FoLiA format (Format for Linguistic Annotation).
pynlpl.formats.fql - Extensive library for the FoLiA Query Language (FQL),
built on top of pynlpl.formats.folia. FQL is currently documented here.
pynlpl.formats.cql - Parser for the Corpus Query Language (CQL), as also used by
Corpus Workbench and Sketch Engine. Contains a convertor to FQL.
pynlpl.formats.giza - Module for reading GIZA++ word alignment data
pynlpl.formats.moses - Module for reading Moses phrase-translation tables.
pynlpl.formats.sonar - Largely obsolete module for pre-releases of the
SoNaR corpus, use pynlpl.formats.folia instead.
pynlpl.formats.timbl - Module for reading Timbl output (consider using
python-timbl instead though)
pynlpl.lm.lm - Module for simple language model and reader for ARPA
language model data as well (used by SRILM).
pynlpl.search - Various search algorithms (Breadth-first, depth-first,
beam-search, hill climbing, A star, various variants of each)
pynlpl.statistics - Frequency lists, Levenshtein, common statistics and
information theory functions
pynlpl.textprocessors - Simple tokeniser, n-gram extraction


Installation
Download and install the latest stable version directly from the Python Package
Index with pip install pynlpl (or pip3 for Python 3 on most
systems). For global installations prepend sudo.
Alternatively, clone this repository and run python setup.py install (or
python3 setup.py install for Python 3 on most system. Prepend sudo for
global installations.
This software may also be found in the certain Linux distributions, such as
the latest versions as Debian/Ubuntu, as python-pynlpl and python3-pynlpl.
PyNLPL is also included in our LaMachine distribution.


Documentation
API Documentation can be found here.