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HRI
2010
ACM
14 years 3 months ago
Following directions using statistical machine translation
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...
Cynthia Matuszek, Dieter Fox, Karl Koscher
COLING
2008
13 years 10 months ago
Sentence Type Based Reordering Model for Statistical Machine Translation
Many reordering approaches have been proposed for the statistical machine translation (SMT) system. However, the information about the type of source sentence is ignored in the pr...
Jiajun Zhang, Chengqing Zong, Shoushan Li
EMNLP
2007
13 years 10 months ago
A Systematic Comparison of Training Criteria for Statistical Machine Translation
We address the problem of training the free parameters of a statistical machine translation system. We show significant improvements over a state-of-the-art minimum error rate tr...
Richard Zens, Sasa Hasan, Hermann Ney
ACL
2001
13 years 10 months ago
Fast Decoding and Optimal Decoding for Machine Translation
A good decoding algorithm is critical to the success of any statistical machine translation system. The decoder's job is to find the translation that is most likely according...
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel...
ACL
2010
13 years 6 months ago
Paraphrase Lattice for Statistical Machine Translation
Lattice decoding in statistical machine translation (SMT) is useful in speech translation and in the translation of German because it can handle input ambiguities such as speech r...
Takashi Onishi, Masao Utiyama, Eiichiro Sumita