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ICASSP
2010
IEEE
15 years 2 months ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals
128
Voted
HICSS
2007
IEEE
126views Biometrics» more  HICSS 2007»
15 years 4 months ago
Model Driven Design and Implementation of Statistical Surveys
We describe the evolution of a statistical survey design visual language from a standalone design-time modelling language into an environment supporting design, coordination, exec...
Chul Hwee Kim, John G. Hosking, John C. Grundy
IJCSA
2007
100views more  IJCSA 2007»
15 years 2 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
HICSS
2003
IEEE
136views Biometrics» more  HICSS 2003»
15 years 7 months ago
Increasing Understanding of the Modern Testing Perspective in Software Product Development Projects
Testing can be difficult to integrate into software development. Approaches to software testing in relation to implementing software are based on the V-model of testing. The softw...
Maaret Pyhäjärvi, Kristian Rautiainen, J...
ACL
2004
15 years 3 months ago
Head-Driven Parsing for Word Lattices
We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous language model and parser for largevocabulary speech recognition....
Christopher Collins, Bob Carpenter, Gerald Penn