2011 | OriginalPaper | Buchkapitel
Parallel Machine Translation for gLite Based Grid Infrastructures
verfasst von : Miloš Stolić, Anastas Mišev
Erschienen in: ICT Innovations 2010
Verlag: Springer Berlin Heidelberg
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Statistical machine translation is often criticized for slow decoding time. We address this issue by presenting a new tool for enabling Moses, a state of the art machine translation system, to be run on gLite based Grid infrastructures. It implements a workflow model for equally distributing the decoding task among several worker nodes in a cluster. We report experimental results for possible speed-ups and envision how natural language processing scientists can benefit from existing Grid infrastructures for solving processing, storage and collaboration issues.