Self-organized language modeling for speech recognition
Readings in speech recognition
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This paper describes an approach to the significant improvement of the sentence accuracy before the linguistic analysis of spontaneous pronounced queries to the "natural speaking" dialogue information retrieval system by using language models of several kinds. The results of an application of language models of three different types (n-gram, polygram and permugram ones) to the output of a standard word recognizer are presented after the description of the theoretical background of all used language models.