Development and Preliminary Evaluation of the MIT ATIS System

Abstract

This paper represents a status report on the MIT ATIS system. The most significant new achievement is that we now have a speech-input mode. It is based on the MIT SUMMIT system using context independent phone models, and includes a word-pair grammar with perplexity 92 (on the June-90 test set). In addition, we have completely redesigned the back-end component, in order to emphasize portability and extensibility. The parser now produces an intermediate semantic frame representation, which serves as the focal point for all back-end operations, such as history management, text generation, and structured query language (SQL) query generation. Most of those aspects of the system that are tied to a particular domain are now entered through a set of tables associated with a small artificial language for decoding them. We have also improved the display of the database table, making it considerably easier for a subject to comprehend the information given. We report here on the results of the official DARPA February-91 evaluation, as well as on results of an evaluation on data collected at MIT, for both speech input and text input.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA460610

Entities

People

  • David Goddeau
  • David Goodine
  • Hong Leung
  • James Glass
  • Joseph Polifroni
  • Lynette Hirschman
  • Michael Phillips
  • Stephanie Seneff
  • Victor Zue

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Computer Science
  • Computers
  • Data Sets
  • Database Management Systems
  • Databases
  • Decoding
  • Demographic Cohorts
  • Domain Specific Programming Languages
  • False Alarms
  • Grammars
  • Language
  • Natural Language Processing
  • Natural Languages
  • Standards
  • Test And Evaluation
  • Test Sets

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Database Systems and Applications
  • Speech Processing/Speech Recognition.