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Titre
Statistical Machine Translation Using the Self-Organizing Map
Autor(es)
Sujet
Computer Science
Fecha de publicación
2010
Éditeur
Springer Science + Business Media
Citación
Distributed Computing and Artificial Intelligence Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 79, pp. 131-138.
Résumé
The paper describes a contextual environment using the Self-Organizing Map, which can model a semantic agent (SOMAgent) that learns the correct meaning of a word used in context in order to deal with specific phenomena such as ambiguity, and to generate more precise alignments that can improve the first choice of the Statistical Machine Translation system giving linguistic knowledge.
URI
ISBN
978-3-642-14882-8 (Print) / 978-3-642-14883-5 (Online)
ISSN
1867-5662 (Print) / 1867-5670 (Online)
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