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ACL
2009
13 years 6 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
ACL
2010
13 years 7 months ago
Fine-Grained Tree-to-String Translation Rule Extraction
Tree-to-string translation rules are widely used in linguistically syntax-based statistical machine translation systems. In this paper, we propose to use deep syntactic informatio...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
ICASSP
2011
IEEE
13 years 19 days ago
A novel decision function and the associated decision-feedback learning for speech translation
In this paper we report our recent development of an end-to-end integrative design methodology for speech translation. Specifically, a novel decision function is proposed based o...
Yaodong Zhang, Li Deng, Xiaodong He, Alex Acero
ACL
2006
13 years 10 months ago
Chinese-English Term Translation Mining Based on Semantic Prediction
Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and crosslanguage information r...
Gaolin Fang, Hao Yu, Fumihito Nishino
AMTA
2004
Springer
14 years 2 months ago
The Georgetown-IBM Experiment Demonstrated in January 1954
The public demonstration of a Russian-English machine translation system in New York in January 1954 – a collaboration of IBM and Georgetown University – caused a great deal of...
W. John Hutchins