Automatic induction of shallow-transfer rules for open-source machine translation
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Título: | Automatic induction of shallow-transfer rules for open-source machine translation |
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Autor/es: | Sánchez-Martínez, Felipe | Forcada, Mikel L. |
Grupo/s de investigación o GITE: | Transducens |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Shallow-transfer rules | Open-source | Machine translation |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2007 |
Editor: | University of Skövde |
Cita bibliográfica: | SÁNCHEZ MARTÍNEZ, Felipe; FORCADA ZUBIZARRETA, Mikel L. "Automatic induction of shallow-transfer rules for open-source machine translation". En: TMI 2007 : proceedings of the 11th International Conference on Theoretical and Methodological Issues in Machine Translation, [Skövde, 7-9 September 2007] / Andy Way, Barbara Gawronska (eds.). Skövde : University of Skövde, 2007. (Skövde University studies in informatics; 2007:1). ISBN 978-91-977095-0-7, pp. 181-190 |
Resumen: | This paper focuses on the inference of structural transfer rules for shallow-transfer machine translation (MT). Transfer rules are generated from alignment templates, like those used in statistical MT, that have been extracted from parallel corpora and extended with a set of restrictions that control their application. The experiments conducted using the open-source MT platform Apertium show that there is a clear improvement in translation quality as compared to word-for-word translation (when no transfer rules are used), and that the resulting translation quality is very close to the one obtained using hand-coded transfer rules. The method we present is entirely unsupervised and benefits from information in the rest of modules of the MT system in which the inferred rules are applied. |
Patrocinador/es: | Spanish Government through projects TIC2003-08681-C02-01 and TIN2006-15071-C03-01. Spanish Government and the European Social Fund through research grant BES-2004-4711. |
URI: | http://hdl.handle.net/10045/14243 |
ISBN: | 978-91-977095-0-7 |
ISSN: | 1653-2325 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/bookPart |
Revisión científica: | si |
Aparece en las colecciones: | INV - TRANSDUCENS - Comunicaciones a Congresos, Conferencias, etc. |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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sanchez07c.pdf | Versión de los autores | 118,21 kB | Adobe PDF | Abrir Vista previa |
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