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152
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MT
2007
100views more  MT 2007»
15 years 19 days ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
91
Voted
ICASSP
2009
IEEE
15 years 8 months ago
Resampling auxiliary data for language model adaptation in machine translation for speech
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Sameer Maskey, Abhinav Sethy
105
Voted
CICLING
2009
Springer
16 years 1 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,...
112
Voted
ACL
2009
14 years 11 months ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar
COLING
2000
15 years 2 months ago
A Model of Competence for Corpus-Based Machine Translation
A translation is a conversion from a source language into a target language preserving the meaning. A huge number of techniques and computational approaches have been experimented...
Michael Carl