Linguistic and Pragmatic Constraints on Utterance Interpretation

Abstract

To model how people understand language, it is necessary to understand not only grammar and logic but also how people use language to affect their environment. This area of study is known as natural language pragmatics. Speech acts, for instance, are the offers, promises, announcements, etc., that people make by talking. The same expression may be different acts in different contexts, and yet not every expression performs every act. We want to understand how people are able to recognize other's intentions and implications in saying something. Previous plan-based theories of speech act interpretation do not account for the conventional aspect of speech acts. They can, however, be made sensitive to both linguistic and propositional information. This dissertation presents a method of speech act interpretation which uses patterns of linguistic features (e.g. mood, verb form, sentence adverbials, thematic roles) to identify a range of speech act interpretations for the utterance. These are then filtered and elaborated by inferences about agents' goals and plans. In many cases the plan reasoning consists of short, local inference chains (that are in fact conversational implicatures), and extended reasoning is necessary only for the most difficult cases. The method is able to accommodate a wide range of cases, from those which seem very idiomatic to those which must be analyzed using knowledge about the world and human behavior. It explains how 'Can you pass the salt?' can be a request while 'Are you able to pass the salt?' is not. (edc)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA228815

Entities

People

  • Elizabeth A. Hinkelman

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Case Studies
  • Computational Linguistics
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Construction
  • Human Behavior
  • Language
  • Linguistics
  • Lisp Programming Language
  • Natural Language Processing
  • Natural Languages
  • New York
  • Recognition
  • Theses

Readers

  • Artificial Intelligence
  • Computational Linguistics
  • Public Financial Management and Budgeting

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation