Toward a Speech Act Theory for Natural Language Processing.

Abstract

THIS REPORT EXPLORES THE PROSPECTS FOR USING CONCEPTS FROM Speech Act Theory in the design of processes that operate on natural language. The potential benefits of creating processes to identify the illocutionary force of utterances in text are particularly significant. These benefits include systematic derivation of implicit communication, identification of relations between text and prior text, and the possibility of applying existing action-oriented knowledge within Al to new natural language processing tasks. The report not only explores these benefits and the potential uses of Speech Act Theory but also exhibits some simple processes for identifying illocutionary forces and for simulating the effects (including much implicit communication) of speech acts. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA087250

Entities

People

  • William C. Mann

Organizations

  • University of Southern California

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Classification
  • Comprehension
  • Computational Linguistics
  • Computational Processes
  • Computer Science
  • Directives
  • Frequency
  • Language
  • Linguistics
  • Natural Language Processing
  • Natural Languages
  • Programming Languages
  • Psychology
  • Recognition
  • Side Effects

Readers

  • Economics
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation