Generation from Lexical Conceptual Structures

Abstract

This paper describes a system for generating natural language sentences from an inter lingual representation, Lexical Conceptual Structure (LCS). This system has been developed as part of a Chinese-English Machine Translation system, however, it promises to be useful for many other MT language pairs. The generation system has also been used in Cross-Language information retrieval research (Levow et al., 2000). One of the big challenges in Natural Language processing efforts is to be able to make use of existing resources, a big difficulty being the sometimes large differences in syntax, semantics, and ontologies of such resources. A case in point is the interlingua representations used for machine translation and cross-language processing. Such representations are becoming fairly popular, yet there are widely different views about what these languages should be composed of, varying from purely conceptual knowledge-representations, having little to do with the structure of language, to very syntactic representations, maintaining most of the idiosyncrasies of the source languages. In our generation system we make use of resources associated with two different (kinds of) interlingua structures: Lexical Conceptual Structures (LCS), and the Abstract Meaning Representations used at USC/ISI (Langkilde and Knight, 1998).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA458759

Entities

People

  • David Traum
  • Nizar Habash

Organizations

  • University of Maryland

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Demographic Cohorts
  • Formal Languages
  • Information Operations
  • Information Retrieval
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Social Sciences
  • Translations
  • Universities
  • Words (Language)

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation