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language-modelling x

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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

Pytorch_beam_search ⭐ 31

A simple library that implements search algorithms for sequence models written in PyTorch.

Maskgan.pytorch ⭐ 8

Pytorch implementation of MaskGAN

Natural Language Processing ⭐ 7

Language Modelling, CMI vs Perplexity

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