proycon/pynlpl
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 Annotation).
This library helps linguists and language researchers process and analyze text data for various natural language processing tasks. It takes raw text or common NLP file formats (like FoLiA XML, GIZA++, Moses, or ARPA) and produces n-grams, frequency lists, language models, or allows for detailed linguistic annotation and querying. It is designed for computational linguists, NLP researchers, and anyone working with annotated linguistic corpora.
477 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to perform linguistic analysis, build language models, extract statistical information from text, or work extensively with the FoLiA XML format and its query language.
Not ideal if you are looking for a high-level, off-the-shelf solution for common NLP applications without needing to delve into data structures or specific file formats.
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Python
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GPL-3.0
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Last pushed
Sep 14, 2023
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