E. E. Jan

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This paper addresses the problem of building natural language based grammars and language models for directory assistance applications that use automatic speech recognition. As input, one is given an electronic version of a standard phone book, and the output is a grammar or language model that will accept all the ways in which one might ask for a(More)
Two major challenges in the rapid deployment of automated natural language call routing system are the minimization of the manual effort in tagging data and reducing the impact of speech recognition errors on the call classification. In this paper we explore some novel approaches which target at these two challenges. One of our approaches enriches the(More)
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