L0—the first five years of an automated language acquisition project
Artificial Intelligence Review - Special issue: grounding representations
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
Grounding Meaning in Perception
GWAI '90 Proceedings of the 14th German Workshop on Artificial Intelligence
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
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Learning to talk about events from narrated video in a construction grammar framework
Artificial Intelligence - Special volume on connecting language to the world
A Neurolinguistic Model of Grammatical Construction Processing
Journal of Cognitive Neuroscience
Cognitive Robotics: Command, Interrogation and Teaching in Robot Coaching
RoboCup 2006: Robot Soccer World Cup X
Reasoning with Qualitative Positional Information for Domestic Domains in the Situation Calculus
Journal of Intelligent and Robotic Systems
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The objective of this research is to develop a system for language learning based on a ''minimum'' of pre-wired language-specific functionality, that is compatible with observations of perceptual and language capabilities in the human developmental trajectory. In the proposed system, meaning (in terms of descriptions of events and spatial relations) is extracted from video images based on detection of position, motion, physical contact and their parameters. Meaning extraction requires attentional mechanisms that are implemented from low-level perceptual primitives. Mapping of sentence form to meaning is performed by learning grammatical constructions, i.e., sentence to meaning mappings as defined by Goldberg [Goldberg, A. (1995). Constructions. Chicago and London: Univ. of Chicago Press]. These are stored and retrieved from a ''construction inventory'' based on the constellation of grammatical function words 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.