Intolerant Data: Testing The Tolerance Principle

Xiaomeng Ma, Martin Chodorow, Virginia Valian

Research output: Contribution to conferencePaperpeer-review

Abstract

Rule-based learning is an important aspect of language acquisition. Yang (2005, 2016) proposed the Tolerance Principle (TP) to predict when a rule will be formed by the language learner. We present the derivation of the TP as originally proposed and test it on both hypothetical data and corpus data from 8 children. Results for the hypothetical data contradict the TP's predictions, as do the data from 7 of the 8 children. We conclude that the original form of the TP does not explain rule-learning.

Original languageEnglish
Pages2126-2132
Number of pages7
StatePublished - 2022
Externally publishedYes
Event44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022 - Toronto, Canada
Duration: 27 Jul 202230 Jul 2022

Conference

Conference44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022
Country/TerritoryCanada
CityToronto
Period27/07/2230/07/22

Keywords

  • Corpus Analysis
  • Past Tense Overregularization
  • Tolerance Principle

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