AI Related Ruby Extensions
This page will maintain list of AI related libraries for the Ruby programming language. Please contact me if you know something I missed.
While maintaining this list, I have induced a theory: If a project's first public appearance is documentation without code, code will not appear before the heat death of the universe.
These libraries are hard to put into categories; if you can't find what you're first looking for, check related categories. NLP tools are for English unless otherwise noted.
- English - a nice collection of morphological tools, including Porter stemming, computing phonetic similarity, obfuscating and handling inflection.
- English tokenizer.
- English Lemmatizer.
- Lingustics 1.0.5 -- the module contains an interface to the parser and "it includes an English-language module with pluralization, conjunctions, indefinite articles, present participles, ordinal numbers, numbers to words, general quantification, integration with WordNet and CMU's LinkGrammar, as well as a framework? for providing modules for other languages?." Documentation here.
- Ruby Utilities a version of the Brill part of speech tagger with a topic-jister /categorization tool. Version 0.1.1, GPL.
- Shalmaneser -- a shallow semantic parser that provides a toolchain (tagging => parsing => pred-arg extraction => semantic role labeling) for labeling sentences semantic roles to FrameNet's frame-semantic corpus. English and German.
- NLP Software -- Several programs and tools for MT (IBM Model1, min error rate, corpora alignment, max entropy modeling)
Most machine learning techniques are resource intensive, so you'll probably want to use Ruby to talk to a binary. If you can't find what you're looking for, consider creating a Ruby wrapper for an exsiting library using SWIG, putting it online and letting me know.
- Decision Tree Learning An good explanation and sample code for learning decision trees, which can be thought of learning categories where it is important to keep track of the order of the features. The AI4R package contains the ID3 decision tree learning algorithms, and will soon include Ross Quinlan's C4.5.
- Clusterer -- "Implements various clustering algorithms for text mining, such as K-Means, Hierarchical clustering, etc."
- Ruby SVM -- Ruby bindings to libsvm support vector machine library, for classification.
- Bayesian Classification -- There's a stemmer/LSA classifier for classifying natural language (with a usage example), and a more general classifier, Bishop related
- Latent Semantic Analysis Ruby LSA gem. Singular Value Decomposition (SVD),
- Neural Networks-- Ruby-FANN or AI4R
Genetic algorithms, searching trees, etc
- See Jason Brownlee's excellent online book Clever Algorithms for a description and examples of many kinds of search and optimization algorithms, all with biological, evolutionary or physical inspiration.
- Gecoder/R is a Ruby interface to Gecode, an open source constraint programming library.
- Directed Ruby Programming (DRP) is a generative programming technique that uses grammatical evolution (genetic algorithms with a grammar) to solve problems.
- AI4R supports genetic algorithms.
- AI Apps - Ruby implementations of various AI algorithms, including GA, n-Queens, hill climbing, neural nets with backpropgation, an expert system and bigram parsing.
- ActiveRDF is a library for accessing RDF data and can be used as a data layer in Ruby on Rails. Supports SPARQL endpoints, Redland and RDFLite; (native) adapters for Jena, Sesame2 and YARS are in development.
- RubyForge - Ruby SourceForge
- Ruby-doc.org - a portal for things about Ruby.
- Ruby-lang.org - the official Ruby headquarters, lots of resources.
- RubyCocoa Resources - a website tutorial of programming is the OS X Cocoa object layer.
ConceptNet - my research group's semantic knowledge base, representing common sense assertions as binary relations. Example Ruby use:
:adapter => "postgresql",
:host => "your.server.edu",
:username => "",
:password => "",
:database => "commons"
class Predicate < ActiveRecord::Base; ; end
class Stem < ActiveRecord::Base; ; end