Parallel Corpus Mining
Parallel Corpus Mining is a multilingual natural language processing task that involves the identification and extraction of sentence-aligned document pairs from comparable or noisy monolingual corpora across different languages, distinguished by its focus on discovering high-quality parallel data without reliance on pre-existing translations.
187
Publications
12.9K
Citations
481
Authors
153
Institutions
Publications per year
2017–2026
51
187
Philip Resnik, Noah A. Smith · Computational Linguistics · 2003 · 525 citations · Full text
Extracting paraphrases from a parallel corpus
Regina Barzilay, Kathleen McKeown · 2001 · 480 citations · Full text
Language Studies, Computer Science, Computational Linguistics +13
1–5 of 187
481
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
8 publications · 1.4K citations
8
h-index
5
h-index
5
h-index
4
h-index
4
h-index
1–5 of 481
153

Johns Hopkins University
Baltimore, United States
8 h-index
14 publications
1.7K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
19 publications
975 citations
Google (United States)
Mountain View, United States
7 h-index
30 publications
2.4K citations

University of Edinburgh
Edinburgh, United Kingdom
6 h-index
15 publications
1.4K citations
Meta (Israel)
Tel Aviv, Israel
6 h-index
18 publications
1.1K citations

University of the Basque Country
Leioa, Spain
5 h-index
12 publications
1K citations
Université de Montréal
Montreal, Canada
4 h-index
8 publications
440 citations
Utrecht University
Utrecht, The Netherlands
4 h-index
17 publications
516 citations
1–8 of 153
Repository · 10 publications · 1.2K citations
10
h-index
5 publications · 1.2K citations
5
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Conference · 3 publications · 71 citations
3
h-index
3 publications · 66 citations
3
h-index
2 publications · 35 citations
2
h-index
1–5