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ACL
2007
14 years 11 months ago
A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation
Recent studies suggest that machine learning can be applied to develop good automatic evaluation metrics for machine translated sentences. This paper further analyzes aspects of l...
Joshua Albrecht, Rebecca Hwa
ACL
2012
13 years 1 days ago
PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning
Many machine translation (MT) evaluation metrics have been shown to correlate better with human judgment than BLEU. In principle, tuning on these metrics should yield better syste...
Boxing Chen, Roland Kuhn, Samuel Larkin
85
Voted
AMTA
2004
Springer
15 years 1 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
2011
13 years 9 months ago
Inducing Sentence Structure from Parallel Corpora for Reordering
When translating among languages that differ substantially in word order, machine translation (MT) systems benefit from syntactic preordering—an approach that uses features fro...
John DeNero, Jakob Uszkoreit
72
Voted
ACL
2006
14 years 11 months ago
Stochastic Iterative Alignment for Machine Translation Evaluation
A number of metrics for automatic evaluation of machine translation have been proposed in recent years, with some metrics focusing on measuring the adequacy of MT output, and othe...
Ding Liu, Daniel Gildea