Cross-lingual Topic Modeling
Cross-Lingual Topic Modeling is a topic modeling framework that enables the discovery and alignment of latent semantic topics across multiple languages by leveraging multilingual corpora and cross-lingual representations.
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2.8K
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171
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72
Institutions
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2017–2026
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David Mimno, Hanna Wallach, Jason Naradowsky et al. · 2009 · 338 citations · Full text
Cross-lingual relevance models
Victor Lavrenko, Martin Choquette, W. Bruce Croft · 2002 · 217 citations
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KU Leuven
Leuven, Belgium
6 h-index
14 publications
865 citations

University of Massachusetts Amherst
Amherst Center, United States
4 h-index
13 publications
2.4K citations
University of Maryland, College Park
College Park, United States
4 h-index
7 publications
389 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
80 citations
University of Mannheim
Mannheim, Germany
3 h-index
5 publications
170 citations
University of Michigan
Ann Arbor, United States
3 h-index
7 publications
180 citations
University of Zurich
Zurich, Switzerland
3 h-index
4 publications
113 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
6 publications
345 citations
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Repository · 3 publications · 174 citations
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Conference · 2 publications · 28 citations
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Conference · 2 publications · 33 citations
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2 publications · 67 citations
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1 publications · 13 citations
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