Paper: The Effectiveness Of Corpus-Induced Dependency Grammars For Post-Processing Speech

ACL ID A00-2014
Title The Effectiveness Of Corpus-Induced Dependency Grammars For Post-Processing Speech
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

This paper investigates the impact of Constraint Dependency Grammars (CDG) on the accuracy of an integrated speech recognition and CDG pars- ing system. We compare a conventional CDG with CDGs that are induced from annotated sentences and template-expanded sentences. The grammars are evaluated on parsing speed, precision/coverage, and improvement of word and sentence accuracy of the integrated system. Sentence-derived CDGs sig- nificantly improve recognition accuracy over the con- ventional CDG but are less general. Expanding the sentences with templates provides us with a mech- anism for increasing the coverage of the grammar with only minor reductions in recognition accuracy. 1 Background The question of when and how to integrate language models with speech recognition systems is gaining...