Automatic Aquisition of Semantic Attributes for User Defined Words m Japanese to English Machine Translation

This paper proposes a method that automatically acquires the SAs (semantic attributes) of user defined words. Applyingthis method to the compilation of a user dictionary targeting newspaper article sentences and sentences ofsoftwaredesign 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%.

• Type: Conference
• Year: 1994
• Where: ANLP
• Authors: Satoru Ikehara, Satoshi Shirai, Akio Yokoo, Francis Bond, Yoshie Omi
• Keywords: ANLP 1994, SAs Improved Translation, Sentences Ofsoftwaredesign Documents, User Defined Words