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EMNLP
2006
14 years 11 months ago
SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline...
Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin...
CIKM
2011
Springer
13 years 9 months ago
An efficient method for using machine translation technologies in cross-language patent search
Topics in prior-art patent search are typically full patent applications and relevant items are patents often taken from sources in different languages. Cross language patent retr...
Walid Magdy, Gareth J. F. Jones
79
Voted
COLING
2002
14 years 9 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
78
Voted
EMNLP
2007
14 years 11 months ago
Improving Statistical Machine Translation Using Word Sense Disambiguation
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
Marine Carpuat, Dekai Wu
85
Voted
EMNLP
2009
14 years 7 months ago
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
Zhifei Li, Jason Eisner