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ACL
2006
13 years 6 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...
IALP
2009
13 years 3 months ago
Improved Reordering Rules for Hierarchical Phrase-Based Translation
Hierarchical phrase-based translation model has been proven to be a simple and powerful machine translation model. However, due to the computational complexity constraints, the ext...
Shu Cai, Yajuan Lü, Qun Liu
COLING
2010
13 years 9 days ago
Constituent Reordering and Syntax Models for English-to-Japanese Statistical Machine Translation
We present a constituent parsing-based reordering technique that improves the performance of the state-of-the-art English-to-Japanese phrase translation system that includes disto...
Young-Suk Lee, Bing Zhao, Xiaoqian Luo
ACL
2009
13 years 3 months ago
Handling phrase reorderings for machine translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework....
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
EMNLP
2008
13 years 6 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