jonathandunn/text_analytics
Basic text analytics and natural language processing in Python
Библиотека для извлечения статистик из текстов на русском языке.
$ git clone https://github.com/SergeyShk/ruTS.gitBasic text analytics and natural language processing in Python
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
Curated List: Practical Natural Language Processing done in Ruby
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).
Statistics and accepted paper list of NLP conferences with arXiv link
Data from GitHub · snapshot Sep 24, 2026