Word-level Alignment for Multilingual Resource Acquisition

Abstract

We present a simple, one-pass word alignment algorithm for parallel text. Our algorithm utilizes synchronous parsing and takes advantage of existing syntactic annotations. In our experiments the performance of this model is comparable to more complicated iterative methods. We discuss the challenges and potential benefits of using the model to train syntactic parsers for new languages.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2002
Accession Number
ADA458782

Entities

People

  • Adam Lopez
  • Michael Nossal
  • Philip Resnik
  • Rebecca Hwa

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Computational Linguistics
  • Computational Science
  • Context Free Grammars
  • Foreign Languages
  • Grammars
  • Graph Theory
  • Language
  • Linguistics
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Precision
  • Spanish Language
  • Statistics

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Parallel and Distributed Computing.
  • Systems Analysis and Design