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» Improving Statistical Word Alignment with Ensemble Methods
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107
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NPL
2000
95views more  NPL 2000»
15 years 2 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
160
Voted
CSL
2011
Springer
14 years 9 months ago
Syntax-based reordering for statistical machine translation
In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-bas...
Maxim Khalilov, José A. R. Fonollosa
109
Voted
ACL
2008
15 years 4 months ago
Recent Improvements in the CMU Large Scale Chinese-English SMT System
In this paper we describe recent improvements to components and methods used in our statistical machine translation system for ChineseEnglish used in the January 2008 GALE evaluat...
Almut Silja Hildebrand, Kay Rottmann, Mohamed Noam...
140
Voted
LREC
2010
178views Education» more  LREC 2010»
15 years 4 months ago
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Ondrej Bojar, Pavel Stranák, Daniel Zeman
159
Voted
BMCBI
2004
177views more  BMCBI 2004»
15 years 2 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu