Please use this identifier to cite or link to this item:
Appears in Collections:Literature and Languages Journal Articles
Peer Review Status: Refereed
Title: Word Learning Under Infinite Uncertainty
Author(s): Blythe, Richard
Smith, Andrew D M
Smith, Kenny
Contact Email:
Keywords: word learning
cross-situational learning
Quine's Problem
Issue Date: Jun-2016
Date Deposited: 8-Mar-2016
Citation: Blythe R, Smith ADM & Smith K (2016) Word Learning Under Infinite Uncertainty. Cognition, 151, pp. 18-27.
Abstract: Language learners must learn the meanings of many thousands of words, de- spite those words occurring in complex environments in which infinitely many meanings might be inferred by the learner as a word’s true meaning. This problem of infinite referential uncertainty is often attributed to Willard Van Orman Quine. We provide a mathematical formalisation of an ideal cross- situational learner attempting to learn under infinite referential uncertainty, and identify conditions under which word learning is possible. As Quine’s intuitions suggest, learning under infinite uncertainty is in fact possible, pro- vided that learners have some means of ranking candidate word meanings in terms of their plausibility; furthermore, our analysis shows that this rank- ing could in fact be exceedingly weak, implying that constraints which allow learners to infer the plausibility of candidate word meanings could themselves be weak. This approach lifts the burden of explanation from ‘smart’ word learning constraints in learners, and suggests a programme of research into weak, unreliable, probabilistic constraints on the inference of word meaning in real word learners.
DOI Link: 10.1016/j.cognition.2016.02.017
Rights: Accepted refereed manuscript of: Blythe R, Smith ADM & Smith K (2016) Word Learning Under Infinite Uncertainty, Cognition, 151, pp. 18-27. DOI: 10.1016/j.cognition.2016.02.017 This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. © 2016, Elsevier. Licensed under the Creative Commons Attribution- NonCommercial-NoDerivatives 4.0 International
Licence URL(s):

Files in This Item:
File Description SizeFormat 
2016_Word learning under infinite uncertainty (1).pdfFulltext - Accepted Version1.18 MBAdobe PDFView/Open

This item is protected by original copyright

A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.