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ICASSP
2009
IEEE
13 years 11 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
COLING
2010
12 years 11 months ago
Local lexical adaptation in Machine Translation through triangulation: SMT helping SMT
We present a framework where auxiliary MT systems are used to provide lexical predictions to a main SMT system. In this work, predictions are obtained by means of pivoting via aux...
Josep Maria Crego, Aurélien Max, Fran&ccedi...
ACL
2010
13 years 2 months ago
Intelligent Selection of Language Model Training Data
We address the problem of selecting nondomain-specific language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach i...
Robert C. Moore, William Lewis
IEICET
2008
136views more  IEICET 2008»
13 years 4 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
MT
2007
100views more  MT 2007»
13 years 4 months 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