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» A framework for linguistic modelling
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IPPS
2006
IEEE
16 years 15 days ago
A framework to develop symbolic performance models of parallel applications
Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the trem...
Sadaf R. Alam, Jeffrey S. Vetter
COLING
2010
15 years 1 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
CICLING
2007
Springer
16 years 20 days ago
Baby-Steps Towards Building a Spanglish Language Model
Abstract. Spanglish is the simultaneous use, or alternating of both, traditional Spanish and English within the same conversational event. This interlanguage is commonly used in U....
Juan Carlos Franco, Thamar Solorio
ICASSP
2011
IEEE
14 years 10 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
TIP
2010
167views more  TIP 2010»
15 years 1 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
Christophoros Nikou, Aristidis Likas, Nikolas P. G...