Language Model Adaptation Using Machine-Translated Text for Resource-Deficient Languages
نویسندگان
چکیده
منابع مشابه
Language Model Adaptation Using Machine-Translated Text for Resource-Deficient Languages
Text corpus size is an important issue when building a language model (LM). This is a particularly important issue for languages where little data is available. This paper introduces an LM adaptation technique to improve an LM built using a small amount of task-dependent text with the help of a machine-translated text corpus. Icelandic speech recognition experiments were performed using data, m...
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Text corpus size is an important issue when building a language model (LM). This is a particularly important issue for languages where little data is available. This paper introduces a technique to improve a LM built using a small amount of task dependent text with the help of a machine-translated text corpus. Perplexity experiments were performed using data, machine translated (MT) from Englis...
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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: EURASIP Journal on Audio, Speech, and Music Processing
سال: 2008
ISSN: 1687-4714,1687-4722
DOI: 10.1155/2008/573832