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ACL
2004
13 years 6 months ago
Improving IBM Word Alignment Model 1
We investigate a number of simple methods for improving the word-alignment accuracy of IBM
Robert C. Moore
AMTA
2004
Springer
13 years 10 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
IICAI
2007
13 years 6 months ago
A Java Implementation of an Extended Word Alignment Algorithm Based on the IBM Models
In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe a platform independent and...
G. Chinnappa, Anil Kumar Singh
ACL
2012
11 years 7 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
TASLP
2008
142views more  TASLP 2008»
13 years 4 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne