Paper Info
Title
UPV translation system for IWSLT 2009.
Abstract
In this paper, we describe the machine translation system developed at the Polytechnic University of Valencia, which was used in our participation in the International Workshop on Spoken Language Translation (IWSLT) 2009. We have taken part only in the Chinese-English BTEC Task. In the evaluation campaign, we focused on the use of our hybrid translation system over the provided corpus and less effort was devoted to the use of pre- and post-processing techniques that could have improved the results. Our decoder is a hybrid machine translation system that combines phrase-based models together with syntax-based translation models. The syntactic formalism that underlies the whole decoding process is a Chomsky Normal Form Stochastic Inversion Transduction Grammar (SITG) with phrasal productions and a log-linear combination of probability models. The decoding algorithm is a CYK-like algorithm that combines the translated phrases inversely or directly in order to get a complete translation of the input sentence.
Year
Venue
Field
2009
IWSLT
Rule-based machine translation,Example-based machine translation,Computer science,Machine translation,Synchronous context-free grammar,Speech recognition,Machine translation software usability,Transfer-based machine translation,Natural language processing,Hybrid machine translation,Artificial intelligence,Computer-assisted translation
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
12
2
Name
Order
Citations
PageRank
Guillem Gascó1152.11
Joan-Andreu Sánchez219829.00