Combining invertible example-based machine translation with translation memory technology

Michael Carl


Abstract
This paper presents an approach to extract invertible trans- lation examples from pre-aligned reference translations. The set of in- vertible translation examples is used in the Example-Based Machine Translation (EBMT) system EDGAR for translation. Invertible bilin- gual grammars eliminate translation ambiguities such that each source language parse tree maps into only one target language string. The trans- lation results of EDGAR are compared and combined with those of a translation memory (TM). It is shown that i) best translation results are achieved for the EBMT system when using a bilingual lexicon to sup- port the alignment process ii) TMs and EBMT-systems can be linked in a dynamical sequential manner and iii) the combined translation of TMs and EBMT is in any case better than each of the single system.
Anthology ID:
2000.amta-papers.13
Volume:
Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers
Month:
October 10-14
Year:
2000
Address:
Cuernavaca, Mexico
Editor:
John S. White
Venue:
AMTA
SIG:
Publisher:
Springer
Note:
Pages:
127–136
Language:
URL:
https://link.springer.com/chapter/10.1007/3-540-39965-8_13
DOI:
Bibkey:
Cite (ACL):
Michael Carl. 2000. Combining invertible example-based machine translation with translation memory technology. In Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 127–136, Cuernavaca, Mexico. Springer.
Cite (Informal):
Combining invertible example-based machine translation with translation memory technology (Carl, AMTA 2000)
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PDF:
https://link.springer.com/chapter/10.1007/3-540-39965-8_13