Paper: Improvement In Customizability Using Translation Templates

ACL ID C94-1001
Title Improvement In Customizability Using Translation Templates
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

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