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EMNLP
2008
15 years 1 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
LREC
2008
85views Education» more  LREC 2008»
15 years 1 months ago
A Multi-Genre SMT System for Arabic to French
This work presents improvements of a large-scale Arabic to French statistical machine translation system over a period of three years. The development includes better preprocessin...
Sasa Hasan, Hermann Ney
AI
2009
Springer
15 years 6 months ago
Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment
Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferre...
Julien Bourdaillet, Stéphane Huet, Fabrizio...
ACL
2008
15 years 1 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...
SIGIR
1998
ACM
15 years 4 months ago
Resolving Ambiguity for Cross-Language Retrieval
Abstract One of the main hurdles to improved CLIR effectiveness is resolving ambiguity associated with translation. Availability of resources is also a problem. First we present a ...
Lisa Ballesteros, W. Bruce Croft