PANGLOSS: KNOWLEDGE-BASED MACHINE TRANSLATION

摘要

The goals of the PANGLOSS project are to investigate and develop a new-generation knowledge-based interlingual machine translation system, combining symbolic and statistical techniques. The system is to translate newspaper texts in arbitrary domains (though a specific financial domain is given preference) to as high quality as possible using as little human intervention as possible.rnThe project involves three sites (USC/ISI, New Mexico State University, and Carnegie Mellon University). NMSU is responsible for Spanish parsing and lexicon acquisition; CMU for glossary and example-based MT translation, interlingua specification, workstation development, and system integration, and ISI for Japanese parsing and analysis, Spanish analysis, English generation, Japanese and English lexicon acquisition, and semantic term lexicon (Ontology) acquisition.