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» Learning Rules to Improve a Machine Translation System
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ICMLC
2010
Springer
13 years 5 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong
EMNLP
2009
13 years 5 months ago
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
In a linguistically-motivated syntax-based translation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence d...
Hui Zhang, Min Zhang, Haizhou Li, Chew Lim Tan
COLING
2010
13 years 2 months ago
An Empirical Study of Translation Rule Extraction with Multiple Parsers
Translation rule extraction is an important issue in syntax-based Statistical Machine Translation (SMT). Recent studies show that rule coverage is one of the key factors affecting...
Tong Xiao, Jingbo Zhu, Hao Zhang, Muhua Zhu
EMNLP
2007
13 years 8 months ago
A Systematic Comparison of Training Criteria for Statistical Machine Translation
We address the problem of training the free parameters of a statistical machine translation system. We show significant improvements over a state-of-the-art minimum error rate tr...
Richard Zens, Sasa Hasan, Hermann Ney
CSL
2011
Springer
13 years 2 months ago
Syntax-based reordering for statistical machine translation
In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-bas...
Maxim Khalilov, José A. R. Fonollosa