Title
Almost flat functional semantics for speech translation
Abstract
We introduce a novel semantic representation formalism, Almost Flat Functional semantics (AFF), which is designed as an intelligent compromise between linguistically motivated predicate/argument semantics and ad hoc engineering solutions based on flat feature/value lists; the central 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 simple 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.
Year
Venue
Keywords
2008
COLING
open source speech translation,semantic element,flat feature,engineering solution,aff representation,argument semantics,central idea,novel semantic representation formalism,flat functional semantics,medium-vocabulary speech translation application,almost flat functional semantics,generic algorithm
Field
DocType
Volume
Arabic,Computer science,Interlingua,Functional semantics,Artificial intelligence,Natural language processing,Speech translation,Predicate (grammar),Parsing,Formalism (philosophy),Semantics
Conference
C08-1
Citations 
PageRank 
References 
2
0.43
5
Authors
4
Name
Order
Citations
PageRank
Manny Rayner150889.27
Pierrette Bouillon221441.22
Beth Ann Hockey321236.35
Yukie Nakao4478.86