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ACL
2009
10 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,...
ICTAI
2010
IEEE
10 years 11 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...
LREC
2010
107views Education» more  LREC 2010»
11 years 2 months ago
Is my Judge a good One?
This paper aims at measuring the reliability of judges in MT evaluation. The scope is two evaluation campaigns from the CESTA project, during which human evaluations were carried ...
Olivier Hamon
AMTA
2004
Springer
11 years 6 months ago
A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
Abstract. Existing automated MT evaluation methods often require expert human translations. These are produced for every language pair evaluated and, due to this expense, subsequen...
Debbie Elliott, Anthony Hartley, Eric Atwell
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