Output details
11 - Computer Science and Informatics
University of Sheffield
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Output 0 of 0 in the submission
Output title
A Computational Model of Language Acquisition: the Emergence of Words
Type
E - Conference contribution
Name of conference/published proceedings
Fundamenta Informaticae
Volume number
90
Issue number
3
First page of article
229
ISSN of proceedings
01692968
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
<22>Understanding how children acquire the ability to generate and recognise speech is an important step towards the next generation of high-performance speech technology systems – systems which can learn new words automatically. This paper [GoogleScholar:21] proposes a novel model, based on the principal of 'self-organisation,' whereby word-forms emerge automatically from cross-modal patterning. The ideas formed the basis of the very successful €2M EU FP6 FET STREP project 'ACORNS' (http://www.acorns-project.org/) for which Moore was PI at Sheffield. ACORNS received outstanding reviews.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
16
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
