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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 spec

Language modeling and instruction tuning for Russian

Emnlp 2023 Papers ⭐ 54

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. ⭐ support NLP!

Python Arpa ⭐ 32

🐍 Python library for n-gram models in ARPA format

🦜 NLP for Tibetan, in Python.

Babyberta ⭐ 15

Source code for CoNLL 2021 paper by Huebner et al. 2021

Computationally Modelling Resisting Strategies in Persuasive Conversations

Separation Rank For Nlp ⭐ 5

Explainable Mechanism for Modeling Contextual Dependency in Neural Language Model

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