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» Learning Rules to Improve a Machine Translation System
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COLING
2010
13 years 2 months 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
2011
12 years 11 months ago
An Interactive Machine Translation System with Online Learning
Daniel Ortiz-Martínez, Luis A. Leiva, Vicen...
ACL
2009
13 years 5 months ago
Reducing SMT Rule Table with Monolingual Key Phrase
This paper presents an effective approach to discard most entries of the rule table for statistical machine translation. The rule table is filtered by monolingual key phrases, whi...
Zhongjun He, Yao Meng, Yajuan Lü, Hao Yu, Qun...
LREC
2008
114views Education» more  LREC 2008»
13 years 8 months ago
Improving Statistical Machine Translation Efficiency by Triangulation
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Yu Chen, Andreas Eisele, Martin Kay