Word-based Machine Translation
Word-Based Machine Translation is a machine translation approach that operates by aligning and translating individual words between source and target languages without significant consideration of contextual or syntactic structures.
186
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13K
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148
Institutions
Publications per year
2017–2026
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Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, Daniel Marcu · 2003 · 3.3K citations · Full text
Addressing the Rare Word Problem in Neural Machine Translation
Thang Luong, Ilya Sutskever, Quoc V. Le et al. · 2015 · 663 citations · Full text
Findings of the 2016 Conference on Machine Translation
Ondřej Bojar, Rajen Chatterjee, Christian Federmann et al. · 2016 · 565 citations · Full text
Findings of the 2018 Conference on Machine Translation (WMT18)
Ondřej Bojar, Christian Federmann, Mark Fishel et al. · 2018 · 557 citations · Full text
Philipp Koehn, Hieu Hoang · Edinburgh Research Explorer (University of Edinburgh) · 2007 · 510 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
12 h-index
32 publications
1.2K citations

University of Edinburgh
Edinburgh, United Kingdom
10 h-index
30 publications
1.9K citations
Charles University
Prague, Czechia
8 h-index
14 publications
1.2K citations
RWTH Aachen University
Aachen, Germany
8 h-index
28 publications
1.7K citations

Johns Hopkins University
Baltimore, United States
8 h-index
18 publications
1.4K citations
Microsoft (United States)
Redmond, United States
7 h-index
9 publications
1.3K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
5 h-index
9 publications
155 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
4 h-index
4 publications
1K citations
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Repository · 8 publications · 342 citations
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Repository · 5 publications · 912 citations
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Repository · 3 publications · 80 citations
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3 publications · 69 citations
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3 publications · 137 citations
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