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EAMT - 2020
Total Papers:- 70
Total Papers accross all years:- 767
Total Citations :- 0
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Insights from Gathering MT Productivity Metrics at Scale
Georg Kirchner |
Revisiting Round-trip Translation for Quality Estimation
Jihyung Moon |
Hyunchang Cho |
Eunjeong L. Park |
Correct Me If You Can: Learning from Error Corrections and Markings
Julia Kreutzer |
Nathaniel Berger |
Stefan Riezler |
An Overview of the SEBAMAT Project
Reinhard Rapp |
George Tambouratzis |
Quality In, Quality Out: Learning from Actual Mistakes
Frederic Blain |
Nikolaos Aletras |
Lucia Specia |
When and Why is Unsupervised Neural Machine Translation Useless?
Yunsu Kim |
Miguel Graça |
Hermann Ney |
Sockeye 2: A Toolkit for Neural Machine Translation
Felix Hieber |
Tobias Domhan |
Michael Denkowski |
David Vilar |
CEF Data Marketplace: Powering a Long-term Supply of Language Data
Amir Kamran |
Dace Dzeguze |
Jaap van der Meer |
Milica Panic |
Alessandro Cattelan |
Daniele Patrioli |
Luisa Bentivogli |
Marco Turchi |
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
Ēriks Ajausks |
Victoria Arranz |
Laurent Bié |
Aleix Cerdà-i-Cucó |
Khalid Choukri |
Montse Cuadros |
Hans Degroote |
Amando Estela |
Thierry Etchegoyhen |
Mercedes García-Martínez |
Aitor García-Pablos |
Manuel Herranz |
Alejandro Kohan |
Maite Melero |
Mike Rosner |
Roberts Rozis |
Patrick Paroubek |
Artūrs Vasiļevskis |
Pierre Zweigenbaum |
A User Study of the Incremental Learning in NMT
Miguel Domingo |
Mercedes García-Martínez |
Álvaro Peris |
Alexandre Helle |
Amando Estela |
Laurent Bié |
Francisco Casacuberta |
Manuel Herranz |
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