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COLING
2008

Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information

14 years 19 days ago
Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information
Latent Semantic Analysis (LSA) is based on the Singular Value Decomposition (SVD) of a term-by-document matrix for identifying relationships among terms and documents from cooccurrence patterns. Among the multiple ways of computing the SVD of a rectangular matrix X, one approach is to compute the eigenvalue decomposition (EVD) of a square 2
Brett W. Bader, Peter A. Chew
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Brett W. Bader, Peter A. Chew
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