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NIPS
2007
14 years 11 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...
COLING
2010
14 years 4 months ago
Plagiarism Detection across Distant Language Pairs
Plagiarism, the unacknowledged reuse of text, does not end at language boundaries. Cross-language plagiarism occurs if a text is translated from a fragment written in a different ...
Alberto Barrón-Cedeño, Paolo Rosso, ...
116
Voted
TASLP
2008
201views more  TASLP 2008»
14 years 9 months ago
Syntactically Lexicalized Phrase-Based SMT
Abstract--Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic knowledge caused system performance to deteriorate. The most recent su...
Hany Hassan, Khalil Sima'an, Andy Way
90
Voted
CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
15 years 2 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
EMNLP
2004
14 years 11 months ago
Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging
Starting from first principles, we re-visit the statistical approach and study two forms of the Bayes decision rule: the common rule for minimizing the number of string errors and...
Hermann Ney, Maja Popovic, David Sündermann