Paper: Generation For Dialogue Translation Using Typed Feature Structure Unification

ACL ID C90-1013
Title Generation For Dialogue Translation Using Typed Feature Structure Unification
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1990
Authors

This article introduces a bidirectional grammar generation system called feature structure-directed generation, developed for a dialogue translation system. The system utilizes typed feature structures to control the top-down derivation in a declarative way. This generation system also uses disjunctive feature structures to reduce the number of copies of the derivation tree. The grammar for this generator is designed to properly generate the speaker's intention in a telephone dialogue.