Source Language Adaptation Approaches for Resource-Poor Machine Translation

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چکیده

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Source Language Adaptation Approaches for Resource-Poor Machine Translation

Most of the world languages are resource-poor for statistical machine translation; still, many of them are actually related to some resource-rich language. Thus, we propose three novel, language-independent approaches to source language adaptation for resource-poor statistical machine translation. Specifically, we build improved statistical machine translation models from a resource-poor langua...

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Source Language Adaptation for Resource-Poor Machine Translation

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We propose a novel language-independent approach for improving machine translation for resource-poor languages by exploiting their similarity to resource-rich ones. More precisely, we improve the translation from a resource-poor source language X1 into a resourcerich language Y given a bi-text containing a limited number of parallel sentences for X1-Y and a larger bi-text for X2-Y for some reso...

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ژورنال

عنوان ژورنال: Computational Linguistics

سال: 2016

ISSN: 0891-2017,1530-9312

DOI: 10.1162/coli_a_00248