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A Full-Text Experiment in Example-Based Machine Translation

Sergei NIRENBURG, Stephen BEALE and Constantine DOMASHNEV
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213 USA
{sergei,sb}@crl.nmsu.edu
dconst@cs.cmu.edu

Abstract:

This paper describes an experiment in example-based machine translation (EBMT) on full text. The unit of translation is a text chunk of arbitrary length, in contrast to sentence-level EBMT experiments. Intra- and inter-language matching techniques and metrics used in the experiment are described.

Keywords: Example-based MT, Corpus-based NLP

Introduction
Example-Based MT
Initial Cleaning and Alignment of Corpus
Intra-Language Matching
Inter-Language Matching
A Detailed Example
- Chunk 1
- Chunk 2
Future Directions
Related Work
Bibliography
About this document ...

Steve Beale
Tue Oct 1 12:14:38 MDT 1996