Paper: Almost Flat Functional Semantics for Speech Translation

ACL ID C08-1090
Title Almost Flat Functional Semantics for Speech Translation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

We introduce a novel semantic represen- tation formalism, Almost Flat Functional semantics (AFF), which is designed as an intelligent compromise between linguis- tically motivated predicate/argument se- mantics and ad hoc engineering solutions based on flat feature/value lists; the cen- tral idea is to tag each semantic element with the functional marking which most closely surrounds it. We argue that AFF is well-suited for medium-vocabulary speech translation applications, and describe sim- ple and general algorithms for parsing, generating and performing transfer using AFF representations. The formalism has been fully implemented within a medium- vocabulary interlingua-based Open Source speech translation system which translates between English, French, Japanese and Arabic.