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» Variational Decoding for Statistical Machine Translation
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LREC
2008
114views Education» more  LREC 2008»
13 years 8 months ago
Improving Statistical Machine Translation Efficiency by Triangulation
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Yu Chen, Andreas Eisele, Martin Kay
ICASSP
2011
IEEE
12 years 11 months ago
Combination of stochastic understanding and machine translation systems for language portability of dialogue systems
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
Bassam Jabaian, Laurent Besacier, Fabrice Lefevre
CICLING
2009
Springer
14 years 8 months ago
Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilin...
Miguel García, Jesús Giménez,...
ACL
2008
13 years 8 months ago
A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
In this paper, we propose a novel string-todependency algorithm for statistical machine translation. With this new framework, we employ a target dependency language model during d...
Libin Shen, Jinxi Xu, Ralph M. Weischedel
EMNLP
2010
13 years 5 months ago
Assessing Phrase-Based Translation Models with Oracle Decoding
Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. A...
Guillaume Wisniewski, Alexandre Allauzen, Fran&cce...