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Stanza OldStanford NLP group's shared Python tools.
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PynlplPyNLPl, 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).
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Tensorflow NlpNLP and Text Generation Experiments in TensorFlow 2.x / 1.x
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Nlp PapersPapers and Book to look at when starting NLP 📚
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DialoglueDialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
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PadatiousA neural network intent parser
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ScattertextBeautiful visualizations of how language differs among document types.
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Nuspell🖋️ Fast and safe spellchecking C++ library
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PapernotesMy personal notes and surveys on DL, CV and NLP papers.
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Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
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DiscobertCode for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
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Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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NltkNLTK Source
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