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» Learning to Align: A Statistical Approach
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ACL
1998
13 years 7 months ago
Improving Statistical Natural Language Translation with Categories and Rules
This paper describes an all level approach on statistical natural language translation (SNLT). Without any predefined knowledge the system learns a statistical translation lexicon...
Franz Josef Och, Hans Weber
EMNLP
2007
13 years 7 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi
BIB
2006
141views more  BIB 2006»
13 years 5 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
AMTA
2004
Springer
13 years 11 months ago
Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment
German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implemen...
Simon Corston-Oliver, Michael Gamon