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        <title>Massively Parallel Parsing in ΦDmDialog: Integrated Architecture for Parsing Speech Inputs</title>
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            <title>Proceedings of the First International Workshop on Parsing Technologies</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Massively Parallel Parsing in ΦDmDialog: Integrated Architecture for Parsing Speech Inputs
%A Kitano, Hiroaki
%A Mitamura, Teruko
%A Tomita, Masaru
%Y Tomita, Masaru
%S Proceedings of the First International Workshop on Parsing Technologies
%D 1989
%8 August
%I Carnegy Mellon University
%C Pittsburgh, Pennsylvania, USA
%F kitano-etal-1989-massively
%X 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.
%U https://aclanthology.org/W89-0225
%P 230-239

Markdown (Informal)

[Massively Parallel Parsing in 𝛷DmDialog: Integrated Architecture for Parsing Speech Inputs](https://aclanthology.org/W89-0225) (Kitano et al., IWPT 1989)

• Massively Parallel Parsing in 𝛷DmDialog: Integrated Architecture for Parsing Speech Inputs (Kitano et al., IWPT 1989)

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.