Useful resources for text processing in Ruby
This curated list comprises awesome resources, libraries, information sources about computational processing of texts in human languages with the Ruby programming language. That field is often referred to as NLP, Computational Linguistics, HLT (Human Language Technology) and can be brought in conjunction with Artificial Intelligence, Machine Learning, Information Retrieval, Text Mining, Knowledge Extraction and other related disciplines.
Our main goal is to promote Ruby as a tool for NLP related tasks. Your help,
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- NLP Pipeline Subtasks
- High Level Tasks
- Linguistic Resources
- Machine Learning Libraries
- Full Text Search, Information Retrieval, Indexing
- Language Aware String Manipulation
- Articles, Posts, Talks, and Presentations
- Related Resources
NLP Pipeline Subtasks
- composable_operations - Definition framework for operation pipelines.
- ruby-spark - Spark bindings with an easy to understand DSL.
- phobos - Simplified Ruby Client for Apache Kafka.
- open-nlp - Ruby Bindings for the OpenNLP Toolkit.
- stanford-core-nlp - Ruby Bindings for the Stanford CoreNLP tools.
- treat - Natural Language Processing framework for Ruby (like NLTK for Python).
- nlp_toolz - Wrapper over some OpenNLP classes and the original Berkeley Parser.
- open_nlp - JRuby Bindings for the OpenNLP Toolkit.
- alchemyapi_ruby - Legacy Ruby SDK for AlchemyAPI/Bluemix.
- wit-ruby - Ruby client library for the Wit.ai Language Understanding Platform.
- wlapi - Ruby client library for Wortschatz Leipzig web services.
- monkeylearn-ruby - Sentiment Analysis, Topic Modelling, Language Detection, Named Entity Recognition via a Ruby based Web API client.
Language Identification is one of the first crucial steps in every NLP Pipeline.
- scylla - Language Categorization and Identification.
Tools for Tokenization, Word and Sentence Boundary Detection and Disambiguation.
- tokenizer - Simple multilingual tokenizer. [tutorial]
- pragmatic_tokenizer - Multilingual tokenizer to split a string into tokens.
- nlp-pure - Natural language processing algorithms implemented in pure Ruby with minimal dependencies.
- textoken - Simple and customizable text tokenization library.
- pragmatic_segmenter - Word Boundary Disambiguation with many cookies.
- punkt-segmenter - Pure Ruby implementation of the Punkt Segmenter.
- Tactful_Tokenizer - RegExp based tokenizer for different languages.
- scapel - Sentence Boundary Disambiguation tool.
Stemming is the term used in information retrieval to describe the process for
reducing wordforms to some base representation. Stemming should be distinguished
from Lemmatization since
stems are not necessarily have
- ruby-stemmer - Ruby-Stemmer exposes the SnowBall API to Ruby.
- uea-stemmer - Conservative stemmer for search and indexing.
Lemmatization is considered a process of finding a base form of a word. Lemmas are often collected in dictionaries.
- lemmatizer - WordNet based Lemmatizer for English texts.
Counting Types and Tokens
- wc - Facilities to count word occurrences in a text.
- word_count -
Word counter for
Phrasal Level Processing
- N-Gram - N-Gram generator.
- ruby-ngram - Break words and phrases into ngrams.
- raingrams - Flexible and general-purpose ngrams library written in pure Ruby.
- stanfordparser - Ruby based wrapper for the Stanford Parser.
- amatch - Set of five distance types between strings (including Levenshtein, Sellers, Jaro-Winkler, ‘pair distance’).
- damerau-levenshtein - Calculates edit distance using the Damerau-Levenshtein algorithm.
- FuzzyTools - In-memory TF/IDF fuzzy document finding with a fancy default tokenizer.
- Going the Distance - Contains scripts that do various distance calculations.
- hotwater - Fast Ruby FFI string edit distance algorithms.
- levenshtein-ffi - Fast string edit distance computation, using the Damerau-Levenshtein algorithm.
- TF-IDF - Term Frequency / Inverse Document Frequency in pure Ruby.
- tf-idf-similarity - Calculate the similarity between texts using TF/IDF.
- SentimentLib - Simple extensible sentiment analysis gem.
High Level Tasks
- alignment - Alignment routines for bilingual texts (Gale-Church implementation).
- Google API Client - Google API Ruby Client.
- microsoft_translator - Ruby client for the microsoft translator API.
- termit - Google Translate with speech synthesis in your terminal.
- chatterbot - Straightforward ruby-based Twitter Bot Framework, using OAuth to authenticate.
- Lita - Lita is a chat bot written in Ruby with persistent storage provided by Redis.
Date and Time Parsing
- Chronic - Pure Ruby natural language date parser.
- Chronic Between - Simple Ruby natural language parser for date and time ranges.
- Chronic Duration - Pure Ruby parser for elapsed time.
- Kronic - Methods for parsing and formatting human readable dates.
- Nickel - Extracts date, time, and message information from naturally worded text.
- Tickle - Parser for recurring and repeating events.
Named Entity Recognition
- ruby-ner - Named Entity Recognition with Stanford NER and Ruby.
- ruby-nlp - Ruby Binding for Stanford Pos-Tagger and Name Entity Recognizer.
- espeak-ruby - Small Ruby API for utilizing ‘espeak’ and ‘lame’ to create text-to-speech mp3 files.
- Isabella - Voice-computing assistant built in Ruby.
- tts - Text-to-Speech conversion using the Google translate service.
- att_speech - Ruby wrapper over the AT&T Speech API for speech to text.
- pocketsphinx-ruby - Pocketsphinx bindings.
- rwordnet - Pure Ruby self contained API library for the Princeton WordNet®.
- wordnet - Performance tuned bindings for the Princeton WordNet®.
Machine Learning Libraries
Machine Learning Algorithms in pure Ruby or written in other programming languages with appropriate bindings for Ruby.
- rb-libsvm - Support Vector Machines with Ruby.
- weka-jruby - JRuby bindings for Weka, different ML algorithms implemented through Weka.
- decisiontree - Decision Tree ID3 Algorithm in pure Ruby.
- rtimbl - Memory based learners from the Timbl framework.
- classifier-reborn - General classifier module to allow Bayesian and other types of classifications.
- lda-ruby - Ruby implementation of the LDA (Latent Dirichlet Allocation) for automatic Topic Modelling and Document Clustering.
- liblinear-ruby-swig - Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification).
- linnaeus - Redis-backed Bayesian classifier.
- maxent_string_classifier - JRuby maximum entropy classifier for string data, based on the OpenNLP Maxent framework.
- Naive-Bayes - Simple Naive Bayes classifier.
- nbayes - Full-featured, Ruby implementation of Naive Bayes.
- omnicat - Generalized rack framework for text classifications.
- omnicat-bayes - Naive Bayes text classification implementation as an OmniCat classifier strategy.
Full Text Search, Information Retrieval, Indexing
- rsolr - Ruby and Rails client library for Apache Solr.
- sunspot - Rails centric client for Apache Solr.
- thinking-sphinx - Active Record plugin for using Sphinx in (not only) Rails based projects.
- elasticsearch - Ruby client and API for Elasticsearch.
- elasticsearch-rails - Ruby and Rails integrations for Elasticsearch.
Language Aware String Manipulation
Libraries for language aware string manipulation, i.e. search, pattern matching, case conversion, transcoding, regular expressions which need information about the underlying language.
- FuzzyMatch - find a needle in a haystack based on string similarity and regular expression rules.
- fuzzy-string-match - Fuzzy string matching library for Ruby.
- active_support -
ActiveSupportgem has various string extensions that can handle case.
- u - U extends Ruby’s Unicode support.
- unicode - Unicode normalization library.
- CommonRegexRuby - Find a lot of kinds of common information in a string.
- regexp-examples - Generate strings that match a given regular expression.
- verbal_expressions - Make difficult regular expressions easy.
Articles, Posts, Talks, and Presentations
- N-gram Analysis for Fun and Profit by Jesus Castello [tutorial]
- Machine Learning made simple with Ruby by Lorenzo Masini [tutorial]
- Using Ruby Machine Learning to Find Paris Hilton Quotes by Rick Carlino [tutorial]
- Exploring Natural Language Processing in Ruby by Kevin Dias [slides]
- Machine Learning made simple with Ruby by Lorenzo Masini [post]
- How to parse ‘go’ - Natural Language Processing in Ruby by Tom Cartwright [slides | video]
- Natural Language Processing in Ruby by Brandon Black [slides | video]
- Natural Language Processing with Ruby: n-grams by Nathan Kleyn [tutorial | code]
- Seeking Lovecraft, Part 1: An introduction to NLP and the Treat Gem by Robert Qualls [tutorial]
- Miller, Rob. Text Processing with Ruby: Extract Value from the Data That Surrounds You. Pragmatic Programmers, 2015. [link]
- Watson, Mark. Scripting Intelligence: Web 3.0 Information Gathering and Processing. APRESS, 2010. [link]
- Watson, Mark. Practical Semantic Web and Linked Data Applications. Lulu: 2010. [link]
- Awesome Ruby - Among other awesome items a short list of NLP related projects.
- Ruby NLP - State-of-Art collection of Ruby libraries for NLP.
- Speech and Natural Language Processing - General List of NLP related resources (mostly not for Ruby programmers).
- Scientific Ruby - Linear Algebra, Visualization and Scientific Computing for Ruby.
- iRuby - IRuby kernel for Jupyter (formelly IPython).
- Kiba - Lightweight ETL (Extract, Transform, Load) pipeline.
- Awesome OCR - Multitude of OCR (Optical Character Recognition) resources.
- Awesome TensorFlow - Machine Learning with TensorFlow libraries.
- rb-gsl - Ruby interface to the GNU Scientific Library.
- The Definitive Guide to Ruby’s C API - Modern Reference and Tutorial on Embedding and Extending Ruby using C programming language.
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- carefully read the Contribution Guidelines.
Some of the open tasks for contributors are listed in the todo file. You may want to start there.
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