acl acl2010 acl2010-91 acl2010-91-reference knowledge-graph by maker-knowledge-mining
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Author: Tanel Alumae ; Mikko Kurimo
Abstract: We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written language data and a small corpus of speech transcripts. Experiments show that the method consistently outperforms linear interpolation which is typically used in such cases.
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