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ACL
2007
13 years 10 months ago
Supertagged Phrase-Based Statistical Machine Translation
Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system performance to deteriorate. In this work we show that i...
Hany Hassan, Khalil Sima'an, Andy Way
EMNLP
2007
13 years 10 months ago
Chinese Syntactic Reordering for Statistical Machine Translation
Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. T...
Chao Wang, Michael Collins, Philipp Koehn
COLING
2010
13 years 3 months ago
Large Scale Parallel Document Mining for Machine Translation
A distributed system is described that reliably mines parallel text from large corpora. The approach can be regarded as cross-language near-duplicate detection, enabled by an init...
Jakob Uszkoreit, Jay Ponte, Ashok C. Popat, Moshe ...
EMNLP
2007
13 years 10 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
ACL
2012
11 years 11 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea