Prosody/Parse Scoring and Its Application in ATIS

Abstract

Prosodic patterns provide important cues for resolving syntactic ambiguity, and might be used to improve the accuracy of automatic speech understanding. With this goal, we propose a method of scoring syntactic parses in terms of oh served prosodic cues, which can be used in ranking sentence hypotheses and associated parses. Specifically, the score is the probability of acoustic features of a hypothesized word sequence given an associated syntactic parse, based on acoustic and `language" (prosody/syntax) models that represent probabilities in terms of abstract prosodic labels. This work reports initial efforts aimed at extending the algorithm to spontaneous speech, specifically the ATIS task, where the prosody/parse score is shown to improve the average rank of the correct sentence hypothesis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA458549

Entities

People

  • M. Ostendorf
  • N. M. Veillux

Organizations

  • Boston University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Acoustic Signals
  • Algorithms
  • Automated Speech Recognition
  • Boundaries
  • Engineering
  • Hypotheses
  • Language
  • Natural Language Processing
  • Natural Languages
  • Probability
  • Probability Distributions
  • Recognition
  • Syllables
  • Systems Engineering
  • Test Sets

Readers

  • Computational Linguistics
  • Regression Analysis.