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146
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ACL
2011
14 years 6 months ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....
100
Voted
LREC
2008
128views Education» more  LREC 2008»
15 years 4 months ago
Automatic Evaluation Measures for Statistical Machine Translation System Optimization
Evaluation of machine translation (MT) output is a challenging task. In most cases, there is no single correct translation. In the extreme case, two translations of the same input...
Arne Mauser, Sasa Hasan, Hermann Ney
109
Voted
ACL
2003
15 years 3 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
NAACL
1994
15 years 3 months ago
Toward Multi-Engine Machine Translation
Current MT systems, whatever translation method they at present employ, do not reach an optimum output on free text. Our hypothesis for the experiment reported in this paper is th...
Sergei Nirenburg, Robert E. Frederking
102
Voted
EACL
1989
ACL Anthology
15 years 3 months ago
An Approach To Sentence-Level Anaphora In Machine Translation
Theoretical research in the area of machine translation usually involves the search for and creation of an appropriate formalism. An important issue in this respect is the way in ...
Gertjan van Noord, Joke Dorrepaal, Doug Arnold, St...