Curated list: Resources for machine learning in Ruby

Curated List: Practical Natural Language Processing done in Ruby

A Ruby wrapper library to the tesseract-ocr API.

English Part-of-Speech Tagger Library; a Ruby port of Lingua::EN::Tagger

A Ruby natural language processor.

Lemmatizer for text in English. Inspired by Python's nltk.corpus.reader.wordnet.morphy

Syntax tree generator for linguistic research

Ruby port of the NLTK Punkt sentence segmentation algorithm

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

Unicode normalization library. (Mirror of Yoshida-san's code base to maintain the RubyGem.)

Accurate Bayesian sentence tokenizer in Ruby.

Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing

A simple tokenizer in Ruby for NLP tasks.

Ruby Mixture with other Programming Languages

An Earley parser written in Ruby

Simple and customizable text tokenization gem.

Fuzzy document finding in Ruby

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

Ruby based API for the project Wortschatz Leipzig.