Probabilistic models of language processing and acquisition.
about
Significance testing as perverse probabilistic reasoning.A Hierarchical Generative Framework of Language Processing: Linking Language Perception, Interpretation, and Production Abnormalities in SchizophreniaArtificial grammar learning meets formal language theory: an overviewWhat do we mean by prediction in language comprehension?The role of abstraction in non-native speech perceptionPerception and hierarchical dynamics.Bayesian Models of Individual Differences.A hierarchy of time-scales and the brain.Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.What you learn is what you see: using eye movements to study infant cross-situational word learningHarmonic biases in child learners: in support of language universals.Human sensorimotor communication: a theory of signaling in online social interactionsOn the Supposed Evidence for Libertarian Paternalism.Sampling Assumptions Affect Use of Indirect Negative Evidence in Language Learning.Natural frequencies improve Bayesian reasoning in simple and complex inference tasksPredictive coding: an account of the mirror neuron system.Modeling language and cognition with deep unsupervised learning: a tutorial overview.How to grow a mind: statistics, structure, and abstraction.The Bayesian boom: good thing or bad?Combining background knowledge and learned topics.Stimulus set size and statistical coverage of the grammar in artificial grammar learning.A probabilistic model of semantic plausibility in sentence processing.Lexical stress assignment as a problem of probabilistic inference.The thematic hierarchy in sentence comprehension: A study on the interaction between verb class and word order in Spanish.Connectionist perspectives on language learning, representation and processing.Bayesian models of cognition.One and done? Optimal decisions from very few samples.Learning Orthographic Structure With Sequential Generative Neural Networks.When Can Predictive Brains be Truly Bayesian?Learning words in space and time: probing the mechanisms behind the suspicious-coincidence effect.Computational evaluation of the Traceback Method.Faster Teaching via POMDP Planning.Cognitive biases, linguistic universals, and constraint-based grammar learning.Introduction to the special issue: parsimony and redundancy in models of language.Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge.What's in a name? Intolerance of uncertainty, other uncertainty-relevant constructs, and their differential relations to worry and generalized anxiety disorder.Judging the Probability of Hypotheses Versus the Impact of Evidence: Which Form of Inductive Inference Is More Accurate and Time-Consistent?Mind, rationality, and cognition: An interdisciplinary debate.Rule-based and Word-level Statistics-based Processing of Language: Insights from Neuroscience.Supervised versus unsupervised categorization: two sides of the same coin?
P2860
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P2860
Probabilistic models of language processing and acquisition.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Probabilistic models of language processing and acquisition.
@ast
Probabilistic models of language processing and acquisition.
@en
type
label
Probabilistic models of language processing and acquisition.
@ast
Probabilistic models of language processing and acquisition.
@en
prefLabel
Probabilistic models of language processing and acquisition.
@ast
Probabilistic models of language processing and acquisition.
@en
P1476
Probabilistic models of language processing and acquisition.
@en
P2093
Nick Chater
P304
P356
10.1016/J.TICS.2006.05.006
P577
2006-06-19T00:00:00Z