From Water to Wine: Generating Natural Language Text from Today's Applications Programs

Abstract

In this paper we present a means of compensating for the semantic deficits of linguistically naive underlying application programs without compromising principled grammatical treatments in natural language generation. We present a method for building an interface from today's underlying application programs to the linguistic realization component Mumble-86. The goal of the paper is not to discuss how Mumble works, but to describe how one exploits its capabilities. We provide examples from current generation projects using Mumble as their linguistic component.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA460352

Entities

People

  • David D. Mcdonald
  • Marie W. Meteer

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Application Software
  • Artificial Intelligence
  • Cognitive Science
  • Construction
  • Databases
  • Demographic Cohorts
  • Generators
  • Grammars
  • Language
  • Linguistics
  • Natural Languages
  • Search Radar
  • Semantic Models
  • Specifications
  • Template Patterns
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Computational Linguistics