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Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio (2009)
Publisher: Versita
Languages: English
Types: Article
Subjects: High scalability, Machine translation, Apertium, Web services, Lenguajes y Sistemas Informáticos
Machine translation web services usage is growing amazingly mainly because of the translation quality and reliability of the service provided by the Google Ajax Language API. To allow the open-source machine ranslation projects to compete with Google’s one and gain visibility on the internet, we have developed ScaleMT: a free/open-source framework that exposes existing machine translation engines as public web services. This framework is highly scalable as it can run coordinately on many servers, fficiently managing the resources needed by the engines, and its API is compatible with Google’s one. ScaleMT is based on previous efforts to build a web service for the Apertium machine translation toolbox, but we have also tested it with Matxin, another free/open-source transfer-based machine translation engine. Additionally, we have compared ScaleMT to an alternative web service implementation for Apertium, obtaining satisfactory results. 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.
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