Offline, privacy-first grammar checker. Fast, open-source, Rust-powered
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Offline, privacy-first grammar checker. Fast, open-source, Rust-powered
Style and Grammar Checker for 25+ Languages
A very simple framework for state-of-the-art Natural Language Processing (NLP)
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Natural language processing framework for Ruby.
No-Frills Functional Programming Lib Augmenting Javascript/Node.js
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
A Go package for n-gram based text categorization, with support for utf-8 and raw text
A flexible and general-purpose ngrams library written in Ruby. Raingrams supports ngram sizes greater than 1, text/non-text grams, multiple parsing styles and open/closed vocabulary models.
Stemmer packages for Go programming language. Includes English, German and Dutch stemmers.
Swift framework for document classification using a Core ML model.
Framework for information extraction from tables
N-Gram generator in Ruby - http://en.wikipedia.org/wiki/N-gram
Combinatory Categorial Grammar (CCG): Full set CCG, and probabilistic CCG
Surface realiser (part of a Natural Language Generation system) using Tree Adjoining Grammar
A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)
Break words and phrases into ngrams.
A generalized rack framework for text classifications.
The public release of the Babel2 framework, a framework for Fluid Construction Grammar, multi-agent experiments and Incremental Recruitment Language.
A social science tool to programmatically analyze entities in non-fictional texts