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ICASSP
2009
IEEE
14 years 2 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
ICGI
2004
Springer
14 years 1 months ago
Learning Finite-State Models for Machine Translation
Enrique Vidal, Francisco Casacuberta
MT
2002
93views more  MT 2002»
13 years 7 months ago
Stochastic Finite-State Models for Spoken Language Machine Translation
Srinivas Bangalore, Giuseppe Riccardi
EMNLP
2008
13 years 9 months ago
Coarse-to-Fine Syntactic Machine Translation using Language Projections
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...
Slav Petrov, Aria Haghighi, Dan Klein