Domain-Specific Languages and parsers in Python made easy

textX is a meta-language for building Domain-Specific Languages (DSLs) in Python. It is inspired by Xtext. In a nutshell, textX will help you build your textual language in an easy way. You can invent your own language or build a s

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hse-aml Resources for "Natural Language Processing" Coursera course.

Tixierae Keras Implementations of Deep Learning Architectures for NLP

ThoughtRiver LMDB Embeddings Query word vectors (embeddings) very quickly with very little querying time overhead and far less memory usage than gensim or other equivalent solutions. This is made possible by Lightning Memory-Mapped Databas

sloria TextBlob: Simplified Text Processing Homepage: TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing

PrashantRanjan09 Using pre trained word embeddings (Fasttext, Word2Vec)

artetxem VecMap (cross-lingual word embedding mappings) This is an open source implementation of our framework to learn cross-lingual word embedding mappings, described in the following papers: Mikel Artetxe, Gorka Labaka, and Eneko A

artetxem Unsupervised Statistical Machine Translation

nltk Natural Language Toolkit (NLTK) NLTK -- the Natural Language Toolkit -- is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. For documentation,