This paper reviews methods for language model adaptation. Paradigms and basic methods are first introduced. Basic theory is presented for maximum a-posterior estimation, mixture based adaptation, and minimum discrimination information. Models to cope with long distance dependencies are also introduced. Applications and results from the recent literature are finally surveyed
Language Model Adaptation
Federico, Marcello
1998-01-01
Abstract
This paper reviews methods for language model adaptation. Paradigms and basic methods are first introduced. Basic theory is presented for maximum a-posterior estimation, mixture based adaptation, and minimum discrimination information. Models to cope with long distance dependencies are also introduced. Applications and results from the recent literature are finally surveyedFile in questo prodotto:
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