Comparable Corpus Mining
Comparable Corpus Mining is a methodology in computational linguistics that systematically identifies and extracts comparable texts across different languages based on non-parallel but topically or contextually aligned documents, distinguishing it from parallel corpus construction by relying on semantic and situational similarity rather than direct translation equivalence.
103
Publications
4.1K
Citations
235
Authors
116
Institutions
Publications per year
2017–2026
20
103
On the use of comparable corpora to improve SMT performance
Sadaf AbduI-Rauf, Holger Schwenk · 2009 · 110 citations · Full text
Computing, Computer Science, French +16
1–5 of 103
235
Pohang University of Science and Technology, South Korea
4 publications · 54 citations
4
h-index
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
4 publications · 229 citations
4
h-index
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
4 publications · 284 citations
4
h-index
4
h-index
3
h-index
1–5 of 235
116
Microsoft Research Asia (China)
Beijing, China
5 h-index
14 publications
195 citations
University of Sheffield
Sheffield, United Kingdom
5 h-index
11 publications
384 citations
Pohang University of Science and Technology
Pohang, South Korea
4 h-index
9 publications
119 citations

Saarland University
Saarbrücken, Germany
3 h-index
3 publications
137 citations

University of Leeds
Leeds, United Kingdom
3 h-index
9 publications
354 citations
Hitachi (Japan)
Tokyo, Japan
3 h-index
4 publications
69 citations
Laboratoire d'informatique de Nantes Atlantique
Nantes, France
2 h-index
6 publications
366 citations
Stanford University
Stanford, United States
2 h-index
5 publications
84 citations
1–8 of 116
Repository · 4 publications · 112 citations
4
h-index
Conference · 2 publications · 46 citations
2
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Repository · 2 publications · 39 citations
2
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2 publications · 96 citations
2
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2 publications · 23 citations
2
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