German-NLP

Learn Japanese grammar with TypeScript

Python Keyphrase Extraction module

Curated List: Practical Natural Language Processing done in Ruby

Thai natural language processing in Python

A list of schools and researchers in computational neuroscience

An Integrated Corpus Tool With Multilingual Support for the Study of Language, Literature, and Translation

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

Data and software for building the ACL Anthology.

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).

Language modeling and instruction tuning for Russian