imaverage uses the viewing frequency and viewing time from a spawned image viewer to build a dynamic database entry for images to gauge their relative preference for a given user. Once the entries have been created, imaverage will continue to show images randomly, with dynamic preference weights. On average, your favorite images should show up most frequently.
Linguaphile is a simple command line language translator. It is open source, platform independent, and programmed in Perl. Linguaphile currently supports the following languages: Afrikaans, Alawa, Albanian, Arrernte, Basque, Belarusian, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Finnish, French, Galician, German, Greek, Hawaiian, Hungarian, Icelandic, Indonesian, Interlingua, Irish, Italian, Kala Lagaw Ya, Korean, Kriol, Latvian, Lithuanian, Malay, Maltese, Maori, Norwegian, Pitjantjatjara, Polish, Portuguese, Romanian, Russian, Samoan, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Thai, Tok Pisin, Turkish, Ukrainian, Warlpiri, and Welsh. The Spanish to English translation is the most useful at this stage.
AI::GA implements a (hopefully) generalized genetic algorithm. It does this by using an array of allowed tokens as individuals. The user has to provide a fitness function. There, the actual representation is implemented. If you have a string of chars, you can simply join them. If you want to have real numbers, you should probably use a bitwise representation and calculate the real values in your fitness function.
Algorithm::Evolutionary is a flexible set of classes for doing evolutionary computation in Perl, integrated with XML for evolutionary algorithm description. So far, it contains classes for doing string, tree, and vector array-based evolutionary computation, several variation operators, and simple population-level algorithms. It has been distributed algorithms using SOAP, and integrated with the DBI and HTML::Mason libraries. It contains an XML dialect for definition of evolutionary algorithms, called EvoSpec; experiments defined using Algorithm::Evolutionary can be completely serialized/deserialized using this language.
myBeasties is a highly flexible evolutionary programming module. It is designed to be extendable and customisable for maximum use by the Perl developer. Many species of genotypes can be evolved, and these can be used to build phenotypes of any size or complexity. These can be as simple as a list or as large as a whole class of objects.
HALoGEN is an extremely powerful and easy to use general-purpose natural language generation system. It consists of a symbolic generator, a forest ranker, and some sample inputs. The symbolic generator includes the Sensus Ontology dictionary based on WordNet. The forest ranker includes a 250 million word ngram language model (unigram, bigram, and trigram) trained on the Wall Street Journal newspaper text. The symbolic generator is written in LISP and requires a Lisp interpreter.
Ellogon is a multi-lingual, cross-platform, general-purpose language engineering environment, developed in order to aid both researchers who are doing research in computational linguistics, as well as companies who produce and deliver language engineering systems. As a language engineering platform, it offers an extensive set of facilities, including tools for processing and visualising textual/HTML/XML data and associated linguistic information, support for lexical resources (like creating and embedding lexicons), tools for creating annotated corpora, accessing databases, comparing annotated data, or transforming linguistic information into vectors for use with various machine learning algorithms.