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EMNLP
2008
13 years 9 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
COLING
2010
13 years 2 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
ACL
2006
13 years 9 months ago
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering mod...
Masaaki Nagata, Kuniko Saito, Kazuhide Yamamoto, K...
ACL
2009
13 years 5 months ago
A Statistical Machine Translation Model Based on a Synthetic Synchronous Grammar
Recently, various synchronous grammars are proposed for syntax-based machine translation, e.g. synchronous context-free grammar and synchronous tree (sequence) substitution gramma...
Hongfei Jiang, Muyun Yang, Tiejun Zhao, Sheng Li, ...
ACL
2008
13 years 9 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