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» Evaluating Machine Translations Using mNCD
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AMTA
2004
Springer
15 years 3 months ago
The Significance of Recall in Automatic Metrics for MT Evaluation
Recent research has shown that a balanced harmonic mean (F1 measure) of unigram precision and recall outperforms the widely used BLEU and NIST metrics for Machine Translation evalu...
Alon Lavie, Kenji Sagae, Shyamsundar Jayaraman
EMNLP
2010
14 years 9 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...
EMNLP
2009
14 years 9 months ago
The Feature Subspace Method for SMT System Combination
Recently system combination has been shown to be an effective way to improve translation quality over single machine translation systems. In this paper, we present a simple and ef...
Nan Duan, Mu Li, Tong Xiao, Ming Zhou
EMNLP
2008
15 years 1 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
ACL
2008
15 years 1 months ago
Recent Improvements in the CMU Large Scale Chinese-English SMT System
In this paper we describe recent improvements to components and methods used in our statistical machine translation system for ChineseEnglish used in the January 2008 GALE evaluat...
Almut Silja Hildebrand, Kay Rottmann, Mohamed Noam...