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» Better Evaluation Metrics Lead to Better Machine Translation
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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 1 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
EMNLP
2006
13 years 9 months ago
Phrasetable Smoothing for Statistical Machine Translation
We discuss different strategies for smoothing the phrasetable in Statistical MT, and give results over a range of translation settings. We show that any type of smoothing is a bet...
George F. Foster, Roland Kuhn, Howard Johnson
LREC
2008
128views Education» more  LREC 2008»
13 years 10 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
EMNLP
2010
13 years 6 months ago
Automatic Evaluation of Translation Quality for Distant Language Pairs
Automatic evaluation of Machine Translation (MT) quality is essential to developing highquality MT systems. Various evaluation metrics have been proposed, and BLEU is now used as ...
Hideki Isozaki, Tsutomu Hirao, Kevin Duh, Katsuhit...
PRIS
2008
13 years 10 months ago
Using a Bilingual Context in Word-Based Statistical Machine Translation
Abstract. In statistical machine translation, phrase-based translation (PBT) models lead to a significantly better translation quality over single-word-based (SWB) models. PBT mode...
Christoph Schmidt, David Vilar, Hermann Ney