Massively Parallel Parsing in đť›·DmDialog: Integrated Architecture for Parsing Speech Inputs

Hiroaki Kitano, Teruko Mitamura, Masaru Tomita


Abstract
This paper describes the parsing scheme in the đť›·DmDialog speech-to-speech dialog translation system, with special emphasis on the integration of speech and natural language processing. We propose an integrated architecture for parsing speech inputs based on a parallel marker-passing scheme and attaining dynamic participation of knowledge from the phonological-level to the discourse-level. At the phonological level, we employ a stochastic model using a transition matrix and a confusion matrix and markers which carry a probability measure. At a higher level, syntactic/semantic and discourse processing, we integrate a case-based and constraint-based scheme in a consistent manner so that a priori probability and constraints, which reflect linguistic and discourse factors, are provided to the phonological level of processing. A probability/cost-based scheme in our model enables ambiguity resolution at various levels using one uniform principle.
Anthology ID:
W89-0225
Volume:
Proceedings of the First International Workshop on Parsing Technologies
Month:
August
Year:
1989
Address:
Pittsburgh, Pennsylvania, USA
Venues:
IWPT | WS
SIG:
SIGPARSE
Publisher:
Carnegy Mellon University
Note:
Pages:
230–239
Language:
URL:
https://www.aclweb.org/anthology/W89-0225
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/W89-0225.pdf