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SPATIALCOGNITION
1998
Springer
13 years 9 months ago
How Space Structures Language
As Talmy has observed, language schematizes space; language provides a systematic framework to describe space, by selecting certain aspects of a referent scene while neglecting the...
Barbara Tversky, Paul U. Lee
ACL
1994
13 years 6 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
HASKELL
2006
ACM
13 years 10 months ago
Strongly typed memory areas programming systems-level data structures in a functional language
Modern functional languages offer several attractive features to support development of reliable and secure software. However, in our efforts to use Haskell for systems programmin...
Iavor S. Diatchki, Mark P. Jones
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 4 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
ACL
2007
13 years 6 months ago
Randomised Language Modelling for Statistical Machine Translation
A Bloom filter (BF) is a randomised data structure for set membership queries. Its space requirements are significantly below lossless information-theoretic lower bounds but it ...
David Talbot, Miles Osborne