computational-linguistics

🌸 Learn Japanese grammar with TypeScript

Python Keyphrase Extraction module

Argument mapping and analysis platform

Curated List: Practical Natural Language Processing done in Ruby

Thai natural language processing in Python

A list of schools and researchers in computational neuroscience

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).

Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German

Language modeling and instruction tuning for Russian

🥛turkic morphology project

Statistics and accepted paper list of NLP conferences with arXiv link

Processed / Cleaned Data for Paper Copilot

Cantonese Linguistics and NLP

Открытые лингвистические датасеты: тональный словарь русского языка КартаСловСент, датасет по семантике, ассоциативный граф и датасет по орфографическим ошибкам и опечаткам.

Massively multilingual pronunciation mining

A curated list of NLP resources for Hungarian

Statistical NLG for spoken dialogue systems

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ