Example-Based Machine Translation
We are currently in the fourth and final year of a project funded by
the National Science Foundation (Grant IIS-9618941) which aims to
increase the effectiveness with which an Example-Based Machine
Translation system can use available parallel text.
Contents:
- Introduction to EBMT
- Our Basic EBMT System
- Generalization
- Results of Generalizing
- Automated Generalization
- Results of Automatic Generalization
- Word-Level Alignment
- Statistical Dictionaries
- Applications of the Component Technologies
Personnel:
Bibliography:
- Ralf D. Brown,
"
Example-Based Machine Translation in the Pangloss System".
In Proceedings of the 16th International Conference on Computational
Linguistics (COLING-96), p. 169-174.
Copenhagen, Denmark, August 5-9, 1996.
- Ralf D. Brown,
"
Automated Dictionary Extraction for ``Knowledge-Free''
Example-Based Translation". In Proceedings of the Seventh
International Conference on Theoretical and Methodological
Issues in Machine Translation, p. 111-118. Santa Fe, July 23-25, 1997.
- Ralf D. Brown.
"
Automatically-Extracted Thesauri for Cross-Language IR: When Better is
Worse",
In Proceedings of the First Workshop on Computational Terminology
(COMPUTERM'98), Montreal, Canada, 15 August 1998, pp. 15-21.
- Ralf D. Brown.
"Adding Linguistic
Knowledge to a Lexical Example-Based Translation System".
In Proceedings of the Eighth International Conference on
Theoretical and Methodological Issues in Machine Translation
(TMI-99), p. 22-32.
Chester, England, August 1999.
- Ralf D. Brown.
"Automated
Generalization of Translation Examples".
In Proceedings of the Eighteenth International Conference on
Computational Linguistics (COLING-2000),
p. 125-131.
Saarbrücken, Germany, August 2000.
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(Last updated 22-Aug-00)