Automatic Language Model Adaptation, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
Language Model plays a vital role in speech recognition systems. Restricting the search space, language models combine the result of words recognition phase with the assumptions gained from the rules and structure of words’ syntax (inflection and etc…), resulting into a more appropriate sequence of words as output. Since the language model for a specific language is not static and varies under the influence of different conditions, the problem of matching language model is being posed. In general, the aim of an adaptive language model is to offer a model capable of capturing all possible changes in the structure of words’ syntax, inflection and semantic structures. If the matching process...
Cataloging briefAutomatic Language Model Adaptation, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
Language Model plays a vital role in speech recognition systems. Restricting the search space, language models combine the result of words recognition phase with the assumptions gained from the rules and structure of words’ syntax (inflection and etc…), resulting into a more appropriate sequence of words as output. Since the language model for a specific language is not static and varies under the influence of different conditions, the problem of matching language model is being posed. In general, the aim of an adaptive language model is to offer a model capable of capturing all possible changes in the structure of words’ syntax, inflection and semantic structures. If the matching process...
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