RT info:eu-repo/semantics/article
T1 Statistical Machine Translation Using the Self-Organizing Map
A1 López, Vivian
A1 Corchado Rodríguez, Juan Manuel
A1 De Paz, Juan F.
A1 Rodríguez González, Sara
A1 Bajo Pérez, Javier
K1 Computer Science
AB 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.
PB Springer Science + Business Media
SN 978-3-642-14882-8 (Print) / 978-3-642-14883-5 (Online)
SN 1867-5662 (Print) / 1867-5670 (Online)
YR 2010
FD 2010
LK http://hdl.handle.net/10366/134939
UL http://hdl.handle.net/10366/134939
LA en
NO Distributed Computing and Artificial Intelligence Advances in Intelligent and Soft Computing.  Advances in Intelligent and Soft Computing. Volumen 79, pp. 131-138.
DS Gestión del Repositorio Documental de la Universidad de Salamanca
RD 25-abr-2024