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Multi-source Neural Automatic Post-Editing: FBK’s participation in the WMT 2017 APE shared task
Rajen Chatterjee
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M. Amin Farajian
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Matteo Negri
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Marco Turchi
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Ankit Srivastava
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Santanu Pal
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
Thuy-Trang Vu
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Gholamreza Haffari
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ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing
Matteo Negri
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Marco Turchi
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Rajen Chatterjee
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Nicola Bertoldi
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Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System
Judith Gaspers
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Penny Karanasou
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Rajen Chatterjee
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Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output
Rajen Chatterjee
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Matteo Negri
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Marco Turchi
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Frédéric Blain
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Lucia Specia
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A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
Inigo Jauregi Unanue
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Ehsan Zare Borzeshi
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Massimo Piccardi
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Findings of the WMT 2018 Shared Task on Automatic Post-Editing
Rajen Chatterjee
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Matteo Negri
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Raphael Rubino
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Marco Turchi
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A Transformer-Based Multi-Source Automatic Post-Editing System
Santanu Pal
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Nico Herbig
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Antonio Krüger
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Josef van Genabith
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Multi-encoder Transformer Network for Automatic Post-Editing
Jaehun Shin
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Jong-Hyeok Lee
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Multi-source transformer with combined losses for automatic post editing
Amirhossein Tebbifakhr
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Ruchit Agrawal
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Matteo Negri
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Marco Turchi
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https://github.com/amunmt/amunmt/
http://www.statmt.org/wmt17/ape-task
http://hdl.handle.net/11234/1-2334
Field Of Study
Task
Machine Translation
Language
English
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