Improvement in customizability using translation templates

Authors:
Satoshi Kinoshita;Akira Kumano;Hideki Hirakawa
Affiliations:
R & D Center, Toshiba Corporation;R & D Center, Toshiba Corporation;R & D Center, Toshiba Corporation
Venue:
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Year:
1994

Citing 5
Cited 1

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Learning translation templates from bilingual text

COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2

Towards a Dynamic Linkage of Example-based and Rule-based Machine Translation

Machine Translation

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Abstract

This paper outlines customization of a machine translation system using translation templates, which enable users to represent the bilingual knowledge needed for complex translation. To evaluate their effectiveness, we analyzed a bilingual text to estimate the improvement in customizability. The result shows that about 60% of mistranslated sentences can be translated as model translations by combining the proposed framework with the conventional customizing functions.