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Fisher, Anna V.; Matlen, Bryan J.; Godwin, Karrie E. – Cognition, 2011
Prior research suggests that preschoolers can generalize object properties based on category information conveyed by semantically-similar labels. However, previous research did not control for co-occurrence probability of labels in natural speech. The current studies re-assessed children's generalization with semantically-similar labels.…
Descriptors: Semantics, Generalization, Probability, Inferences
Hertwig, Ralph; Benz, Bjorn; Krauss, Stefan – Cognition, 2008
According to the conjunction rule, the probability of A "and" B cannot exceed the probability of either single event. This rule reads "and" in terms of the logical operator [inverted v], interpreting A and B as an intersection of two events. As linguists have long argued, in natural language "and" can convey a wide range of relationships between…
Descriptors: Semantics, Form Classes (Languages), Probability, Inferences
McClelland, James L.; Thompson, Richard M. – Developmental Science, 2007
A connectionist model of causal attribution is presented, emphasizing the use of domain-general principles of processing and learning previously employed in models of semantic cognition. The model categorizes objects dependent upon their observed 'causal properties' and is capable of making several types of inferences that 4-year-old children have…
Descriptors: Semantics, Probability, Inferences, Models
Griffiths, Thomas L.; Steyvers, Mark; Tenenbaum, Joshua B. – Psychological Review, 2007
Processing language requires the retrieval of concepts from memory in response to an ongoing stream of information. This retrieval is facilitated if one can infer the gist of a sentence, conversation, or document and use that gist to predict related concepts and disambiguate words. This article analyzes the abstract computational problem…
Descriptors: Language Processing, Information Retrieval, Fundamental Concepts, Syntax