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» Language Modeling with Sentence-Level Mixtures
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CVPR
2003
IEEE
14 years 10 months ago
A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...
DongQing Zhang, Shih-Fu Chang
ACL
1997
13 years 9 months ago
A Model of Lexical Attraction and Repulsion
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
Doug Beeferman, Adam L. Berger, John D. Lafferty
ICLP
2009
Springer
14 years 2 months ago
An Engine for Computing Well-Founded Models
The seemingly simple choice of whether to use call variance or call subsumption in a tabled evaluation deeply affects an evaluation’s properties. Most tabling implementations hav...
Terrance Swift
CORR
2000
Springer
86views Education» more  CORR 2000»
13 years 7 months ago
Variable Word Rate N-grams
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...
Yoshihiko Gotoh, Steve Renals
PDP
2008
IEEE
14 years 2 months ago
A Transformation Framework for Communicating Multiprocessor-Tasks
Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory p...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...