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» Learning Rules to Improve a Machine Translation System
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128
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COLING
2010
14 years 10 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
64
Voted
COLING
1992
15 years 4 months ago
Learning Mechanism in Machine Translation System "PIVOT"
Mitsugu Miura, Mikito Hirata, Nami Hoshino
ACL
2011
14 years 7 months ago
An Interactive Machine Translation System with Online Learning
Daniel Ortiz-Martínez, Luis A. Leiva, Vicen...
ACL
2009
15 years 1 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...
130
Voted
LREC
2008
114views Education» more  LREC 2008»
15 years 4 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