Paper: Automatic Aquisition Of Semantic Attributes For User Defined Words M Japanese To English Machine Translation

ACL ID A94-1032
Title Automatic Aquisition Of Semantic Attributes For User Defined Words M Japanese To English Machine Translation
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1994
Authors

This paper proposes a method that automatically acquires the SAs (semantic attributes) of user defined words. Applying this method to the compilation of a user dictionary targeting newspaper article sentences and sentences of software design documents has revealed that the automatically determined SAs include 50 to 80% of the correct attributes. Translation experiments confirmed that the automatically acquired SAs improved translation quality by 6-13%.