| A curated list of machine learning and NLP software |
| A Survey of Text Mining Architectures and the UIMA Standard. Mathias Bank, Martin Schierle |
| A what-to-use diagram (and a blog post) for opensource NLP software |
| Deep learning for NLP in PyTorch |
| DeepNLP-models-Pytorch - Pytorch implementations of various Deep NLP models in cs-224n (Stanford Univ: NLP with Deep Learning).
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| DKPRO a set of useful open-source UIMA components |
| English Parser Evaluation Corpus - dependency-parser evaluation data
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| GramLab - free and open source linguistic tools for the processing of textual information.
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| Implementation of the Brown hierarchical word clustering algorithm. Percy Liang |
| Intelligent Archive |
| Practical PyTorch |
| Semantic Matching - Semantic matching is a type of ontology matching technique that relies on semantic information encoded in lightweight ontologies to identify nodes that are semantically related in graph-like structures.
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| Stanford's Tregex - a utility for matching patterns in trees, based on tree relationships and regular expression matches on nodes (the name is short for "tree regular expressions").
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| TextCat - a language guesser and text categorizer.
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| UW SPF - The University of Washington Semantic Parsing Framework |
| warp-ctc - A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
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