Speech and Natural Language Processing - NLP with Ruby

Definition framework for operation pipelines.

Spark bindings with an easy to understand DSL.

Simplified Ruby Client for Apache Kafka.

Supervisor for parallel execution on multiple CPUs or in many threads.

Rake extensions to run local and remote tasks in parallel.

Ruby Bindings for the OpenNLP Toolkit.

Ruby Bindings for the Stanford CoreNLP tools.

Natural Language Processing framework for Ruby (like NLTK for Python).

Wrapper over some OpenNLP classes and the original Berkeley Parser.

JRuby Bindings for the OpenNLP Toolkit.

Wrapper module for spaCy NLP library via PyCall.

Legacy Ruby SDK for AlchemyAPI/Bluemix.

Ruby client library for the Wit.ai Language Understanding Platform.

Ruby client library for Wortschatz Leipzig web services.

Sentiment Analysis, Topic Modelling, Language Detection, Named Entity Recognition via a Ruby based Web API client.

Google's Natural Language service API for Ruby.

Language Categorization and Identification.

Simple multilingual tokenizer. [tutorial]

Multilingual tokenizer to split a string into tokens.

Natural language processing algorithms implemented in pure Ruby with minimal dependencies.

Simple and customizable text tokenization library.

Word Boundary Disambiguation with many cookies.

Pure Ruby implementation of the Punkt Segmenter.

RegExp based tokenizer for different languages.

Sentence Boundary Disambiguation tool.

Ruby-Stemmer exposes the SnowBall API to Ruby.

Conservative stemmer for search and indexing.

WordNet based Lemmatizer for English texts.

Facilities to count word occurrences in a text.

Word counter for String and Hash objects.

Pure Ruby library counting word statistics with different custom options.

Filter and Stop Word Lexicon based on the SnowBall lemmatizer.

N-Gram generator.

Break words and phrases into ngrams.

Flexible and general-purpose ngrams library written in pure Ruby.

Ruby based wrapper for the Stanford Parser.

Pure Ruby implementation of the Earley Parsing Algorithm for Context-Free Constituency Grammars.

Visualization for syntactic trees in Ruby based on RMagick. [dep: ImageMagick]

Set of five distance types between strings (including Levenshtein, Sellers, Jaro-Winkler, 'pair distance').

Calculates edit distance using the Damerau-Levenshtein algorithm.

Fast Ruby FFI string edit distance algorithms.

Fast string edit distance computation, using the Damerau-Levenshtein algorithm.

Term Frequency / Inverse Document Frequency in pure Ruby.

Calculate the similarity between texts using TF/IDF.

Simple extensible sentiment analysis gem.

Spelling and Grammar corrections via the Ginger API.

Ruby bindings to the standard Hunspell Spell Checker.

FFI based Ruby bindings for Hunspell.

Ruby bindings to Hunspell via Ruby C API.

Alignment routines for bilingual texts (Gale-Church implementation).

Google API Ruby Client.

Ruby client for the microsoft translator API.

Google Translate with speech synthesis in your terminal.

implementation of BLEU and other base algorithms.

Semantic Polarity based on the SentiWS lexicon.

Pure Ruby natural language date parser.

Simple Ruby natural language parser for date and time ranges.

Pure Ruby parser for elapsed time.

Methods for parsing and formatting human readable dates.

Extracts date, time, and message information from naturally worded text.

Parser for recurring and repeating events.

Ruby parser for English number expressions.

Named Entity Recognition with Stanford NER and Ruby.

Ruby Binding for Stanford Pos-Tagger and Name Entity Recognizer.

Small Ruby API for utilizing 'espeak' and 'lame' to create text-to-speech mp3 files.

Text-to-Speech conversion using the Google translate service.

Ruby wrapper over the AT&T Speech API for speech to text.

Pocketsphinx bindings.

Straightforward ruby-based Twitter Bot Framework, using OAuth to authenticate.

Highly extensible chat operation bot framework written with persistent storage on Redis.

Pure Ruby self contained API library for the Princeton WordNet®.

Performance tuned bindings for the Princeton WordNet®.

Support Vector Machines with Ruby.

JRuby bindings for Weka, different ML algorithms implemented through Weka.

Decision Tree ID3 Algorithm in pure Ruby [post].

Memory based learners from the Timbl framework.

General classifier module to allow Bayesian and other types of classifications.

Ruby implementation of the LDA (Latent Dirichlet Allocation) for automatic Topic Modelling and Document Clustering.

Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification).

Redis-backed Bayesian classifier.

JRuby maximum entropy classifier for string data, based on the OpenNLP Maxent framework.

Simple Naive Bayes classifier.

Full-featured, Ruby implementation of Naive Bayes.

Generalized rack framework for text classifications.

Naive Bayes text classification implementation as an OmniCat classifier strategy.

Ruby bindings to the Fast Artificial Neural Network Library (FANN).

Feature Extraction and Crossvalidation library.

FFI based wrapper over the Tesseract OCR Engine.

library for extracting text and metadata from files and documents using the Apache Tika content analysis toolkit.

Ruby and Rails client library for Apache Solr.

Rails centric client for Apache Solr.

Active Record plugin for using Sphinx in (not only) Rails based projects.

Ruby client and API for Elasticsearch.

Ruby and Rails integrations for Elasticsearch.

Ruby API library for Google services.

Fuzzy string comparison with Distance measures and Regular Expression.

Fuzzy string matching library for Ruby.

RoR ActiveSupport gem has various string extensions that can handle case.

Toolset for fuzzy searches in Ruby tuned for accuracy.

U extends Ruby’s Unicode support.

Unicode normalization library.

Find a lot of kinds of common information in a string.

Generate strings that match a given regular expression.

Make difficult regular expressions easy.

Transliterate Hebrew & Yiddish text into Latin characters.

hight-speed Regular Expression library for Text Mining and Text Extraction.

sample string generation from a given Regular Expression.

transliteration Cyrillic to Latin in many possible ways (defined by the reference implementation).

2017_The Google NLP API Meets Ruby_ by Aja Hammerly [post]Syntax Isn't Everything: NLP For Rubyists by Aja Hammerly [slides]Scientific Computing on JRuby by Prasun Anand [[slides](https://www.slideshare.net/PrasunAnand2/fosdem2017-scientific-comp…

2016_Quickly Create a Telegram Bot in Ruby_ by Ardian Haxha [tutorial]Deep Learning: An Introduction for Ruby Developers by Geoffrey Litt [slides]How I made a pure-Ruby word2vec program more than 3x faster by Kei Sawada [[slides](https:…

2014_Natural Language Parsing with Ruby_ by Glauco Custódio [tutorial]Demystifying Data Science: Analyzing Conference Talks with Rails and Ngrams by Todd Schneider [video | code]Natural Language Processing with Ruby by [Konstantin Tennhard](https://…

2013_How to parse 'go' - Natural Language Processing in Ruby_ by Tom Cartwright [slides | video]Natural Language Processing in Ruby by Brandon Black [slides | [video](http://confreaks.tv/videos/railsconf20…

2006_Speak My Language: Natural Language Processing With Ruby_ by Michael Granger [slides | write-up | write-up]

Implementations of various distance algorithms with example calculations.

NER Examples in Ruby and Java with some explanations.

examples of customizable word statistics powered by words_counted.

Web based demonstration of the syntactic tree visualization.

. Text Processing with Ruby: Extract Value from the Data That Surrounds You. Pragmatic Programmers, 2015. [link]

. Practical Semantic Web and Linked Data Applications. Lulu, 2010. [link]

Information Retrieval in C and Ruby.

Ruby native wrapper for Open Text Summarizer.

Among other awesome items a short list of NLP related projects.

State-of-Art collection of Ruby libraries for NLP.

General List of NLP related resources (mostly not for Ruby programmers).

Linear Algebra, Visualization and Scientific Computing for Ruby.

IRuby kernel for Jupyter (formelly IPython).

Multitude of OCR (Optical Character Recognition) resources.

Machine Learning with TensorFlow libraries.