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» How Much Can We Gain from Supervised Word Alignment
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CVPR
2009
IEEE
15 years 5 months ago
Learning sign language by watching TV (using weakly aligned subtitles)
The goal of this work is to automatically learn a large number of British Sign Language (BSL) signs from TV broadcasts. We achieve this by using the supervisory information avai...
Patrick Buehler (University of Oxford), Mark Everi...
BMCBI
2007
117views more  BMCBI 2007»
13 years 10 months ago
Supervised multivariate analysis of sequence groups to identify specificity determining residues
Background: Proteins that evolve from a common ancestor can change functionality over time, and it is important to be able identify residues that cause this change. In this paper ...
Iain M. Wallace, Desmond G. Higgins
NLE
2007
180views more  NLE 2007»
13 years 9 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
ACL
2010
13 years 8 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein
BMCBI
2010
104views more  BMCBI 2010»
13 years 10 months ago
Parameters for accurate genome alignment
Background: Genome sequence alignments form the basis of much research. Genome alignment depends on various mundane but critical choices, such as how to mask repeats and which sco...
Martin C. Frith, Michiaki Hamada, Paul Horton