About
Language acquisition and processing has been one of the central research issues in cognitive science. It is also an area in which the use of cognitive computational modelling has been especially intense. Language, and especially language acquisition, has been the key battleground for nativists and empiricists; and between advocates of rule-based, probabilistic, and connectionist models of thought. Yet the computational models proposed by CogSci researchers are often far behind, in scale and accuracy, the non-cognitively motivated models proposed by computational linguists, which are heavily based on machine learning techniques.
This workshop asks how far these techniques, and their theoretical underpinnings, provide tools for building richer theories of cognitive processes. For example, can powerful machine learning techniques (e.g. kernel methods) help build models of the cognitive operations involved in human language acquisition? Conversely, can insights from cognitive science help inform and focus computational linguistic and machine learning? Can evidence concerning the spectacular computational performance of the human language processor help inspire new generations of computational linguistic and machine learning tools?
This workshop brings together participants from all of the disciplines that address this problem to discuss a range of related topics from methodological issues in computational modelling of language acquisition, including evaluation of empirical learning models, to technical problems in machine learning and grammatical inference. The workshop includes invited talks by some of the leading researchers in these fields.
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Uploaded videos:
Bayesian models of cross-situational word learning
Oct 31, 2007
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3950 Views
Grammatical Inference Vs. Grammar Induction: the Data or the Method?
Oct 31, 2007
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5254 Views
Simulating Language Acquisition
Oct 31, 2007
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3938 Views
Incrementally learning an Incremental parser
Oct 31, 2007
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4936 Views
A Bayesian approach to Word Segmentation: Theoretical and Experimental results
Oct 31, 2007
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5045 Views
Learning Phonotactic Constraints from Continuous Speech
Oct 31, 2007
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3449 Views
From Unsegmented Speech to Lexical Categories Using Phoneme Distributions
Oct 31, 2007
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3426 Views
Linguistic Relevance of Unsupervised Data-Oriented Parsing
Oct 31, 2007
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3475 Views
Using Minimum Description Length to make Grammatical Generalizations
Oct 31, 2007
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4518 Views
Linguistically-informed, statistically-driven induction of morphology
Oct 31, 2007
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3293 Views
Words in puddles of sound
Oct 31, 2007
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5428 Views
An annotated hierarchies model of syntactic categories
Oct 31, 2007
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3733 Views
Unsupervised Learning of Syntactic Structure
Oct 31, 2007
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5788 Views
Memory-Based models of inflectional morphology acquisition and processing
Oct 31, 2007
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4097 Views
Latent Semantic Grammar Induction
Oct 31, 2007
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3928 Views
A Bayesian approach to the Poverty of the stimulus
Oct 31, 2007
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4156 Views
My Turing Machine or Yours?
Oct 31, 2007
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9337 Views
Modeling semantic plausibility and the influence of visual context during on-lin...
Oct 31, 2007
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4201 Views