Recursive distributed representations
Artificial Intelligence - On connectionist symbol processing
Language Games for Autonomous Robots
IEEE Intelligent Systems
Inducing Probabilistic Grammars by Bayesian Model Merging
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Linear recursive distributed representations
Neural Networks
Electrophysiological Signatures of Visual Lexical Processing: Open- and Closed-Class Words
Journal of Cognitive Neuroscience
Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic
Journal of Artificial Intelligence Research
Affordance based word-to-meaning association
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
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The objective of this research is to develop a system for miniature language learning based on a minimum of prewired language-specific functionality, that is compatible with observations of perceptual and language capabilities in human development. In the proposed system, meaning is extracted from video images based on detection of physical contact and its parameters. Mapping of sentence form to meaning is performed by learning grammatical constructions that are retrieved from a construction inventory based on the constellation of closed class items uniquely identifying the target sentence structure. The resulting system displays robust acquisition behavior that reproduces certain observations from developmental studies, with very modest "innate" language specificity.