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» On the Translation of Procedures to Finite Machines
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ACL
1998
13 years 9 months ago
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
Hiyan Alshawi, Srinivas Bangalore, Shona Douglas
COLING
2008
13 years 9 months ago
Phrasal Segmentation Models for Statistical Machine Translation
Phrasal segmentation models define a mapping from the words of a sentence to sequences of translatable phrases. We discuss the estimation of these models from large quantities of ...
Graeme W. Blackwood, Adrià de Gispert, Will...
COLING
2010
13 years 2 months ago
Translation Model Generalization using Probability Averaging for Machine Translation
Previous methods on improving translation quality by employing multiple SMT models usually carry out as a secondpass decision procedure on hypotheses from multiple systems using e...
Nan Duan, Hong Sun, Ming Zhou
ACL
2003
13 years 9 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
COLING
2000
13 years 9 months ago
Chart-Based Transfer Rule Application in Machine Translation
35"ansfer-based Machine Translation systems require a procedure for choosing the set; of transfer rules for generating a target language translation from a given source langu...
Adam Meyers, Michiko Kosaka, Ralph Grishman