Improved Cross-Language Retrieval using Backoff Translation

Abstract

The limited coverage of available translation lexicons can pose a serious challenge in some cross-language information retrieval applications. We present two techniques for combining evidence from dictionary-based and corpus-based translation lexicons, and show that backoff translation outperforms a technique based on merging lexicons.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA459769

Entities

People

  • Douglas Oard
  • Gina Levow
  • Philip Resnik

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Computer Science
  • Computing-Related Activities
  • Data Science
  • Department Of Defense
  • Dictionaries
  • Information Operations
  • Information Retrieval
  • Information Science
  • Language
  • Linguistics
  • Machine Translation
  • Precision
  • Statistical Analysis
  • Translations
  • Universities
  • Words (Language)

Fields of Study

  • Computer science

Readers

  • Computational Linguistics

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation