Please use this identifier to cite or link to this item: http://hdl.handle.net/10366/134939
Statistical Machine Translation Using the Self-Organizing Map: Profile on PlumX
Title: Statistical Machine Translation Using the Self-Organizing Map
Authors: López, Vivian
Corchado Rodríguez, Juan M.
Paz Santana, Juan Francisco de
Rodríguez González, Sara
Bajo Pérez, Javier
Keywords: Computer Science
Issue Date: 2010
Publisher: Springer Science + Business Media
Citation: Distributed Computing and Artificial Intelligence Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 79, pp. 131-138.
Abstract: 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: http://hdl.handle.net/10366/134939
ISBN: 978-3-642-14882-8 (Print) / 978-3-642-14883-5 (Online)
ISSN: 1867-5662 (Print) / 1867-5670 (Online)
Appears in Collections:BISITE. Congresos

Files in This Item:
File Description SizeFormat 
dcai_lopez.pdf174,41 kBAdobe PDFThumbnail
View/Open


This item is is subject to a Creative Commons License