A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2005; you can also visit the original URL.
The file type is
The estimation of initial language models for new applications of spoken dialogue systems without large taskspecific training corpora is becoming an increasingly important issue. This paper investigates two different approaches in which the task-specific knowledge contained in the language understanding grammar is exploited in order to generate n-gram language models for the speech recognizer: The first uses class-based language models for which the word-classes are automatically derived fromdoi:10.1109/icassp.1998.674398 dblp:conf/icassp/Kellner98 fatcat:cz3ggk3f2bgp7chkvrqfguoc5a