Sciweavers

COLING
2008

Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information

13 years 4 months 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
Comments (0)