Coping with Combinatorial Uncertainty in Word Learning: A Flexible Usage-Based Mode

Pieter Wellens

Onderzoeksoutput: Conference paper

Samenvatting

Agents in the process of bootstrapping a shared lexicon face immense uncertainty. The problem that an agent cannot point to meaning but only to objects, represents one of the core aspects of the problem. Even with a straightforward representation of meaning, such as a set of boolean features, the hypothesis space scales exponential in the number of primitive features. Further- more, data suggests that human learners grasp aspects of many novel words after only a few exposures. We propose a model that can handle the exponential increase in uncertainty and allows scaling towards very large meaning spaces. The key novelty is that word learning or bootstrapping should not be viewed as a mapping task, in which a set of forms is to be mapped onto a set of (predefined) concepts. Instead we view word learning as a process in which the representation of meaning gradually shapes itself, while being usable in interpretation and pro- duction almost instantly.
Originele taal-2English
Titel7th International Conference on The Evolution of Language
RedacteurenA.d.m Smith, K. Smith, R.f. I Cancho
UitgeverijWorld Scientific Publishing
Pagina's370-377
Aantal pagina's8
ISBN van geprinte versie981-277-611-7
StatusPublished - 2008
EvenementUnknown - Stockholm, Sweden
Duur: 21 sep 200925 sep 2009

Publicatie series

Naam7th International Conference on The Evolution of Language

Conference

ConferenceUnknown
Land/RegioSweden
StadStockholm
Periode21/09/0925/09/09

Bibliografische nota

A.D.M Smith, K. Smith, R.F. i Cancho

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