The Effectiveness of Corpus-Induced Dependency Grammars for Post-processing Speech (2000)
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| Venue: | IN PROCEEDINGS OF THE 1ST ANNUAL MEETING OF THE NORTH AMERICAN ASSOCIATION FOR COMPUTATIONAL LINGUISTICS |
| Citations: | 8 - 4 self |
BibTeX
@INPROCEEDINGS{Harper00theeffectiveness,
author = {M. P. Harper and C. M. White and W. Wang and M. T. Johnson and R. A. Helzerman},
title = {The Effectiveness of Corpus-Induced Dependency Grammars for Post-processing Speech },
booktitle = {IN PROCEEDINGS OF THE 1ST ANNUAL MEETING OF THE NORTH AMERICAN ASSOCIATION FOR COMPUTATIONAL LINGUISTICS},
year = {2000},
pages = {102--109},
publisher = {}
}
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Abstract
This paper investigates the impact of Constraint Dependency Grammars (CDG) on the accuracy of an integrated speech recognition and CDG parsing 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 significantly improve recognition accuracy over the conventional CDG but are less general. Expanding the sentences with templates provides us with a mechanism for increasing the coverage of the grammar with only minor reductions in recognition accuracy.
