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Grammar Inference and Statistical Machine Translation
NLP researchers face a dilemma: on one side, it is unarguably accepted that languages have internal structure rather than strings of words. On the other side, they nd it very di cult and expensive to write grammars that have good coverage of language structures. Statistical machine translation tries to cope with this problem by ignoring language structures and using a statistical models to depi...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1992
ISSN: 0001-4966
DOI: 10.1121/1.404865