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» Cognates Can Improve Statistical Translation Models
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ACL
2008
13 years 10 months ago
A Discriminative Latent Variable Model for Statistical Machine Translation
Large-scale discriminative machine translation promises to further the state-of-the-art, but has failed to deliver convincing gains over current heuristic frequency count systems....
Phil Blunsom, Trevor Cohn, Miles Osborne
ACL
2010
13 years 6 months ago
Constituency to Dependency Translation with Forests
Tree-to-string systems (and their forestbased extensions) have gained steady popularity thanks to their simplicity and efficiency, but there is a major limitation: they are unable...
Haitao Mi, Qun Liu
NAACL
2007
13 years 10 months ago
Direct Translation Model 2
This paper presents a maximum entropy machine translation system using a minimal set of translation blocks (phrase-pairs). While recent phrase-based statistical machine translatio...
Abraham Ittycheriah, Salim Roukos
EMNLP
2008
13 years 10 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
EMNLP
2007
13 years 10 months ago
Improving Translation Quality by Discarding Most of the Phrasetable
It is possible to reduce the bulk of phrasetables for Statistical Machine Translation using a technique based on the significance testing of phrase pair co-occurrence in the para...
Howard Johnson, Joel D. Martin, George F. Foster, ...