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» A Probability Model to Improve Word Alignment
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ICPR
2010
IEEE
13 years 5 months ago
Word Clustering Using PLSA Enhanced with Long Distance Bigrams
Probabilistic latent semantic analysis is enhanced with long distance bigram models in order to improve word clustering. The long distance bigram probabilities and the interpolate...
Nikoletta Bassiou, Constantine Kotropoulos
GCB
2000
Springer
137views Biometrics» more  GCB 2000»
13 years 11 months ago
Detecting Sporadic Recombination in DNA Alignments with Hidden Markov Models
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
Dirk Husmeier, Frank Wright
ACL
2007
13 years 9 months ago
Ordering Phrases with Function Words
This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the obse...
Hendra Setiawan, Min-Yen Kan, Haizhou Li
ACL
2010
13 years 5 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein
INFORMATICALT
2008
139views more  INFORMATICALT 2008»
13 years 7 months ago
Fingerprint Minutiae Matching without Global Alignment Using Local Structures
This paper presents a method of minutiae based fingerprint matching that is robust to deformations and does not do fingerprint alignment. It concentrates on comparing rotation and ...
Andrej Kisel, Alexej Kochetkov, Justas Kranauskas