Massively Parallel Parsing in 𝛷DmDialog: Integrated Architecture for Parsing Speech Inputs

Hiroaki Kitano, Teruko Mitamura, Masaru Tomita


Abstract
This paper describes the parsing scheme in the 𝛷DmDialog 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
Editor:
Masaru Tomita
Venue:
IWPT
SIG:
SIGPARSE
Publisher:
Carnegy Mellon University
Note:
Pages:
230–239
Language:
URL:
https://aclanthology.org/W89-0225
DOI:
Bibkey:
Cite (ACL):
Hiroaki Kitano, Teruko Mitamura, and Masaru Tomita. 1989. Massively Parallel Parsing in 𝛷DmDialog: Integrated Architecture for Parsing Speech Inputs. In Proceedings of the First International Workshop on Parsing Technologies, pages 230–239, Pittsburgh, Pennsylvania, USA. Carnegy Mellon University.
Cite (Informal):
Massively Parallel Parsing in 𝛷DmDialog: Integrated Architecture for Parsing Speech Inputs (Kitano et al., IWPT 1989)
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PDF:
https://aclanthology.org/W89-0225.pdf