Speech and Natural Language Processing > NLP with Ruby

NER Examples in Ruby and Java with some explanations.

Implementations of various distance algorithms with example calculations.

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).

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.

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.

Ruby API library for Google services.

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 and Rails integrations for Elasticsearch.

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.

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.

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).

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

by Todd Schneider video via github.com/toddwschneider by Todd Schneider code

by Nathan Kleyn tutorial via github.com/nathankleyn by Nathan Kleyn code

by Gleicon Moraes code via twitter.com/gleicon by Gleicon Moraes post via twitter.com/gleicon

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).

IRuby kernel for Jupyter (formelly IPython).

Multitude of OCR (Optical Character Recognition) resources.

Machine Learning with TensorFlow libraries.