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» Semantic Evaluation of Machine Translation
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EMNLP
2004
15 years 3 months ago
Statistical Significance Tests for Machine Translation Evaluation
If two translation systems differ differ in performance on a test set, can we trust that this indicates a difference in true system quality? To answer this question, we describe b...
Philipp Koehn
ACL
2009
14 years 11 months ago
The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been suggested. However, n-gram based metrics are still today the dominant approach. The ...
Enrique Amigó, Jesús Giménez,...
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NAACL
2007
15 years 3 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea