An open-source highly scalable web service architecture for the Apertium machine translation engine

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Título: An open-source highly scalable web service architecture for the Apertium machine translation engine
Autor/es: Sánchez-Cartagena, Víctor M. | Pérez-Ortiz, Juan Antonio
Grupo/s de investigación o GITE: Transducens
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Palabras clave: Machine translation | Application programming interface | Apertium | Translation web service | Google
Área/s de conocimiento: Lenguajes y Sistemas Informáticos
Fecha de publicación: nov-2009
Editor: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Cita bibliográfica: SÁNCHEZ-CARTAGENA, Víctor M.; PÉREZ-ORTIZ, Juan Antonio. "An open-source highly scalable web service architecture for the Apertium machine translation engine". En: Proceedings of the First International Workshop on Free/Open-Source Rule-Based Machine Translation / Edited by Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Francis M. Tyers. Alicante : Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, 2009, pp. 51-58
Resumen: Some machine translation services like Google Ajax Language API have become very popular as they make the collaboratively created contents of the web 2.0 available to speakers of many languages. One of the keys of its success is its clear and easy-to-use application programming interface (API) and a scalable and reliable service. This paper describes a highly scalable implementation of an Apertium-based translation web service, that aims to make contents available to speakers of lesser resourced languages. The API of this service is compatible with Google’s one, and the scalability of the system is achieved by a new architecture that allows adding or removing new servers at any time; for that, an application placement algorithm which decides which language pairs should be translated on which servers is designed. Our experiments show how the resulting architecture improves the translation rate in comparison to existing Apertium-based servers.
Patrocinador/es: This work has been partially funded by Google through the Google Summer of Code program and by Spanish Ministerio de Ciencia e Innovación through project TIN2009-14009-C02-01.
URI: http://hdl.handle.net/10045/12030
Idioma: eng
Tipo: info:eu-repo/semantics/article
Revisión científica: si
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