Paper: Generating Statistical Language Models From Interpretation Grammars In Dialogue Systems

ACL ID E06-1008
Title Generating Statistical Language Models From Interpretation Grammars In Dialogue Systems
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

In this paper, we explore statistical lan- guage modelling for a speech-enabled MP3 player application by generating a corpus from the interpretation grammar written for the application with the Gram- matical Framework (GF) (Ranta, 2004). We create a statistical language model (SLM) directly from our interpretation grammar and compare recognition per- formance of this model against a speech recognition grammar compiled from the same GF interpretation grammar. The results show a relative Word Error Rate (WER) reduction of 37% for the SLM derived from the interpretation grammar whilemaintainingalowin-grammarWER comparable to that associated with the speech recognition grammar. From this starting point we try to improve our arti- ficially generated model by interpolating it with different cor...