Paper Info
Title
Incremental decoding for phrase-based statistical machine translation
Abstract
In this paper we focus on the incremental decoding for a statistical phrase-based machine translation system. In incremental decoding, translations are generated incrementally for every word typed by a user, instead of waiting for the entire sentence as input. We introduce a novel modification to the beam-search decoding algorithm for phrase-based MT to address this issue, aimed at efficient computation of future costs and avoiding search errors. Our objective is to do a faster translation during incremental decoding without significant reduction in the translation quality.
Year
Venue
Keywords
2010
WMT@ACL
translation quality,statistical phrase-based machine translation,novel modification,future cost,entire sentence,incremental decoding,phrase-based mt,faster translation,beam-search decoding algorithm,efficient computation,phrase-based statistical machine translation
Field
DocType
Citations 
Rule-based machine translation,Example-based machine translation,Computer science,Machine translation,Phrase,Speech recognition,Artificial intelligence,Natural language processing,Transfer-based machine translation,Decoding methods,Sentence,Computation
Conference
8
PageRank 
References 
Authors
0.64
11
3
Name
Order
Citations
PageRank
Baskaran Sankaran115513.65
Ajeet Grewal280.64
Anoop Sarkar3101788.82