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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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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland, USA
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
SubCo: A Learner Translation Corpus of Human and Machine Subtitles
José Manuel Martínez Martínez
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Mihaela Vela
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USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics
Liling Tan
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Carolina Scarton
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Lucia Specia
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Josef van Genabith
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SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles
Liling Tan
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Carolina Scarton
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Lucia Specia
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Josef van Genabith
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Results of the WMT14 Metrics Shared Task
Matouš Macháček
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Ondřej Bojar
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Predicting Machine Translation Adequacy with Document Embeddings
Mihaela Vela
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Liling Tan
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CASICT-DCU Participation in WMT2015 Metrics Task
Hui Yu
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Qingsong Ma
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Xiaofeng Wu
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Qun Liu
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Re-assessing the WMT2013 Human Evaluation with Professional Translators Trainees
Mihaela Vela
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Josef van Genabith
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http://asiya.lsi.upc.edu
https://code.google.com/p/berkeleyaligner
http://asiya.lsi.upc.edu
Field Of Study
Task
Information Retrieval
Machine Translation
Language
English
Spanish
French
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