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» Learning a language model from continuous speech
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AI
2005
Springer
14 years 9 months ago
Semiotic schemas: A framework for grounding language in action and perception
A theoretical framework for grounding language is introduced that provides a computational path from sensing and motor action to words and speech acts. The approach combines conce...
Deb Roy
96
Voted
ML
1998
ACM
139views Machine Learning» more  ML 1998»
14 years 9 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
JAIR
2006
110views more  JAIR 2006»
14 years 9 months ago
Modelling Mixed Discrete-Continuous Domains for Planning
In this paper we present pddl+, a planning domain description language for modelling mixed discrete-continuous planning domains. We describe the syntax and modelling style of pddl...
Maria Fox, Derek Long
SIGGRAPH
2010
ACM
15 years 2 months ago
Gesture controllers
We introduce gesture controllers, a method for animating the body language of avatars engaged in live spoken conversation. A gesture controller is an optimal-policy controller tha...
Sergey Levine, Philipp Krähenbühl, Sebastian Thr...
ACL
2007
14 years 11 months ago
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
Smaranda Muresan, Owen Rambow