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The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
Enrique Amigó
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Jesús Giménez
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Julio Gonzalo
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Felisa Verdejo
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Paper Details:
Month: August
Year: 2009
Location: Suntec, Singapore
Venue:
ACL |
IJCNLP |
Citations
URL
All in Strings: a Powerful String-based Automatic MT Evaluation Metric with Multiple Granularities
Junguo Zhu
|
Muyun Yang
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Bo Wang
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Sheng Li
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Tiejun Zhao
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Corroborating Text Evaluation Results with Heterogeneous Measures
Enrique Amigó
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Julio Gonzalo
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Jesús Giménez
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Felisa Verdejo
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Using Discourse Structure Improves Machine Translation Evaluation
Francisco Guzmán
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Shafiq Joty
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Lluís Màrquez
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Preslav Nakov
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IPA and STOUT: Leveraging Linguistic and Source-based Features for Machine Translation Evaluation
Meritxell Gonzàlez
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Alberto Barrón-Cedeño
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Lluís Màrquez
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DiscoTK: Using Discourse Structure for Machine Translation Evaluation
Shafiq Joty
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Francisco Guzmán
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Lluís Màrquez
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Preslav Nakov
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Targeted Paraphrasing on Deep Syntactic Layer for MT Evaluation
Petra Barančíková
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Rudolf Rosa
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UPF-Cobalt Submission to WMT15 Metrics Task
Marina Fomicheva
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Núria Bel
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Iria da Cunha
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Anton Malinovskiy
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CobaltF: A Fluent Metric for MT Evaluation
Marina Fomicheva
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Núria Bel
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Lucia Specia
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Iria da Cunha
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Anton Malinovskiy
|
http://www.lsi.upc.edu/
http://www.nist.gov/speech/tests/mt
http://www.lsi
Field Of Study
Linguistic Trends
Discourse
Task
Machine Translation
Language
Spanish
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