Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
An IR approach for translating new words from nonparallel, comparable texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Extracting word correspondences from bilingual corpora based on word co-occurrences information
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Looking for candidate translational equivalents in specialized, comparable corpora
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 2
Frequency estimates for statistical word similarity measures
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Extracting Translation Equivalents from Bilingual Comparable Corpora
IEICE - Transactions on Information and Systems
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Very low-dimensional latent semantic indexing for local query regions
AsianIR '03 Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11
Clustering Syntactic Positions with Similar Semantic Requirements
Computational Linguistics
Navigation in degree of interest trees
Proceedings of the working conference on Advanced visual interfaces
TV ad video categorization with probabilistic latent concept learning
Proceedings of the international workshop on Workshop on multimedia information retrieval
An empirical study of required dimensionality for large-scale latent semantic indexing applications
Proceedings of the 17th ACM conference on Information and knowledge management
Latent Style Model: Discovering writing styles for calligraphy works
Journal of Visual Communication and Image Representation
Evaluation of utility of LSA for word sense discrimination
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Comparing Different Properties Involved in Word Similarity Extraction
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
A comparison of co-occurrence and similarity measures as simulations of context
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Application of latent semantic indexing to processing of noisy text
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Open-Source portuguese–spanish machine translation
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
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In this paper, we analyze the behaviour of Singular Value Decomposition in a number of word similarity extraction tasks, namely acquisition of translation equivalents from comparable corpora. Special attention is paid to two different aspects: computational efficiency and extraction quality. The main objective of the paper is to describe several experiments comparing methods based on Singular Value Decomposition (SVD) to other strategies. The results lead us to conclude that SVD makes the extraction less computationally efficient and much less precise than other more basic models for the task of extracting translation equivalents from comparable corpora.