Speech Generation from Semantic Nets

Abstract

Natural language output can be generated from semantic nets by processing templates associated with concepts in the net. A set of verb templates is being derived from a study of the surface syntax of some 3000 English verbs: the active forms of the verbs have been classified according to subject, object(s), and complement(s); these syntactic patterns, augmented with case names, are used as a grammar to control the generation of text. This text in turn is passed through a speech synthesis program and output by a VOTRAX speech synthesizer. This analysis should ultimately benefit systems attempting to understand English input by providing surface structure to deep ease structure maps using the same templates as employed by the generator.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1975
Accession Number
ADA638757

Entities

People

  • Jonathan Slocum

Organizations

  • SRI International

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Computational Linguistics
  • Computer Science
  • Computers
  • Demographic Cohorts
  • Dictionaries
  • Generators
  • Grammars
  • Language
  • Linguistics
  • Models
  • Natural Languages
  • Semantic Models
  • Submarines
  • Template Patterns

Readers

  • Computational Linguistics
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation