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Semantic Evaluation of Machine Translation
Billy Tak-Ming Wong
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Paper Details:
Month: May
Year: 2010
Location: Valletta, Malta
Venue:
LREC |
Citations
URL
Squibs: Evaluating Human Pairwise Preference Judgments
Mark Dras
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CFT13: A resource for research into the post-editing process
Michael Carl
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Mercedes Martínez García
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Bartolomé Mesa-Lao
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Building a Corpus of Errors and Quality in Machine Translation: Experiments on Error Impact
Ângela Costa
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Rui Correia
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Luísa Coheur
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Eyes Don’t Lie: Predicting Machine Translation Quality Using Eye Movement
Hassan Sajjad
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Francisco Guzmán
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Nadir Durrani
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Ahmed Abdelali
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Houda Bouamor
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Irina Temnikova
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Stephan Vogel
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HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features
Dario Bertero
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Pascale Fung
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BEER: BEtter Evaluation as Ranking
Miloš Stanojević
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Khalil Sima’an
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Correlating decoding events with errors in Statistical Machine Translation
Eleftherios Avramidis
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Maja Popović
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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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Predicting Machine Translation Adequacy with Document Embeddings
Mihaela Vela
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Liling Tan
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How do Humans Evaluate Machine Translation
Francisco Guzmán
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Ahmed Abdelali
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Irina Temnikova
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Hassan Sajjad
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Stephan Vogel
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Natural Language Generation from Pictographs
Leen Sevens
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Vincent Vandeghinste
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Ineke Schuurman
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Frank Van Eynde
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DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors
Eleftherios Avramidis
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Aljoscha Burchardt
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Vivien Macketanz
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Ankit Srivastava
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bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids
Andre Tättar
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Mark Fishel
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Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT
Marianna Martindale
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Marine Carpuat
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Findings of the 2018 Conference on Machine Translation (WMT18)
Ondřej Bojar
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Christian Federmann
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Mark Fishel
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Yvette Graham
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Barry Haddow
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Philipp Koehn
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Christof Monz
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http://lsa.colorado.edu/
Field Of Study
Task
Semantic Similarity
Machine Translation
Language
English
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