Workshop on Machine Learning and Cognitive Science of Language Acquisition, London 2007

Workshop on Machine Learning and Cognitive Science of Language Acquisition, London 2007

18 Videos · Jun 21, 2007

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.

Videos

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55:49

Modeling semantic plausibility and the influence of visual context during on-lin...

Matthew Crocker

Oct 31, 2007

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4214 views

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27:31

Linguistically-informed, statistically-driven induction of morphology

Erwin Chan

Oct 31, 2007

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3298 views

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21:57

Latent Semantic Grammar Induction

Andrew Olney

Oct 31, 2007

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3933 views

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40:57

My Turing Machine or Yours?

John Goldsmith

Oct 31, 2007

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9347 views

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A Bayesian approach to the Poverty of the stimulus

Amy Perfors

Oct 31, 2007

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4156 views

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Memory-Based models of inflectional morphology acquisition and processing

Walter Daelemans

Oct 31, 2007

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4097 views

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24:51

An annotated hierarchies model of syntactic categories

Virginia Savova

Oct 31, 2007

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3737 views

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25:24

Words in puddles of sound

Padraic Monaghan

Oct 31, 2007

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5435 views

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26:05

Using Minimum Description Length to make Grammatical Generalizations

Mike Dowman

Oct 31, 2007

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4524 views

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Linguistic Relevance of Unsupervised Data-Oriented Parsing

Rens Bod

Oct 31, 2007

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3475 views

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24:19

Learning Phonotactic Constraints from Continuous Speech

Frans Adriaans

Oct 31, 2007

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3453 views

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48:22

From Unsegmented Speech to Lexical Categories Using Phoneme Distributions

Morten Christiansen

Oct 31, 2007

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3431 views

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25:29

A Bayesian approach to Word Segmentation: Theoretical and Experimental results

Sharon Goldwater

Oct 31, 2007

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5049 views

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23:30

Simulating Language Acquisition

Daniel Freudenthal

Oct 31, 2007

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3948 views

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49:14

Grammatical Inference Vs. Grammar Induction: the Data or the Method?

Colin de la Higuera

Oct 31, 2007

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5262 views

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46:39

Unsupervised Learning of Syntactic Structure

Christopher Manning

Oct 31, 2007

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5796 views

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24:44

Incrementally learning an Incremental parser

Yoav Seginer

Oct 31, 2007

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4940 views

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25:29

Bayesian models of cross-situational word learning

Michael Frank

Oct 31, 2007

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3955 views