Automatic aquisition of semantic attributes for user defined words in Japanese to English machine translation
Satoru Ikehara, Satoshi Shirai, Akio Yokoo, Francis T. Bond, Yoshie Omi · 1994
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%.