Machine-readable Parallel Corpora
Machine-Readable Parallel Corpora is a structured linguistic dataset consisting of aligned texts in two or more languages that is encoded in a digital format enabling automated processing, analysis, and application in computational translation and bilingual lexicon extraction.
17
Publications
590
Citations
55
Authors
22
Institutions
Publications per year
2017–2026
7
Parents
17
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
Philipp Koehn, Huda Khayrallah, Kenneth Heafield et al. · 2018 · 105 citations · Full text
1–5 of 17
55
1
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1
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1
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1
h-index
1 publications · 41 citations
1
h-index
1–5 of 55
22

Johns Hopkins University
Baltimore, United States
2 h-index
5 publications
468 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
363 citations

King Abdulaziz University
Jeddah, Saudi Arabia
1 h-index
1 publications
14 citations
Nagoya University
Nagoya, Japan
1 h-index
1 publications
14 citations

Vassar College
Town of Poughkeepsie, United States
1 h-index
1 publications
25 citations
Universitat de València
Valencia, Spain
1 h-index
3 publications
174 citations

University of Aberdeen
Aberdeen, United Kingdom
1 h-index
4 publications
100 citations
Departament de Salut
Barcelona, Spain
1 h-index
1 publications
105 citations
1–8 of 22
Repository · 1 publications · 41 citations
1
h-index
1 publications · 19 citations
1
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1 publications · 12 citations
1
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IJNLC · 1 publications · 13 citations
1
h-index
IJCL · 1 publications · 16 citations
1
h-index
1–5