Inducing Lexico-Structural Transfer Rules from Parsed Bi-texts

Abstract

This paper describes a novel approach to inducing lexico-structural transfer rules from parsed bi-texts using syntactic pattern matching statistical co-occurrence and error-driven filtering the present initial evaluation results and discuss future directions. This paper describes a novel approach to inducing transfer rules from syntactic parses of bi-texts and available bilingual dictionaries. The approach consists of inducing transfer rules using the four major steps described in more detail below: (i) aligning the nodes of the parses: (ii) generating candidate rules from these alignments: (iii) ordering candidate rules by co-occurrence: and (iv) applying error-driven filtering to select the final set of rules. Our approach is based on lexico-structural transfer (Nasr et. al. 1997) and extends recent work reported in (Han et al. 2000) about Korean to English transfer in particular. Whereas Han et al. focus on high quality domain-specific translation using handcrafted transfer rules in this work we instead focus on automating the acquisition of such rules.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA457736

Entities

People

  • Beiioit Lavoie
  • Michael J. White
  • Tanya Koreisky

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Acquisition
  • Algorithms
  • Computational Linguistics
  • Dictionaries
  • Errors
  • Filtration
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Test And Evaluation
  • Test Sets
  • Training
  • Translations

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Linguistics