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ECIR
2006
Springer
13 years 9 months ago
An Efficient Computation of the Multiple-Bernoulli Language Model
Abstract. The Multiple Bernoulli (MB) Language Model has been generally considered too computationally expensive for practical purposes and superseded by the more efficient multino...
Leif Azzopardi, David E. Losada
ENTCS
2010
108views more  ENTCS 2010»
13 years 5 months ago
Integrating Textual and Graphical Modelling Languages
Graphical diagrams are the main modelling constructs offered by the popular modelling language UML. Because textual representations of models also have their benefits, we investig...
Luc Engelen, Mark van den Brand
EMNLP
2009
13 years 5 months ago
Stream-based Randomised Language Models for SMT
Randomised techniques allow very big language models to be represented succinctly. However, being batch-based they are unsuitable for modelling an unbounded stream of language whi...
Abby Levenberg, Miles Osborne
TASLP
2010
97views more  TASLP 2010»
13 years 2 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
ICPR
2010
IEEE
13 years 7 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl