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ERIC Number: EJ1137776
Record Type: Journal
Publication Date: 2017
Pages: 26
Abstractor: As Provided
Reference Count: 150
ISBN: N/A
ISSN: ISSN-1048-9223
Rage against the Machine: Evaluation Metrics in the 21st Century
Yang, Charles
Language Acquisition: A Journal of Developmental Linguistics, v24 n2 p100-125 2017
I review the classic literature in generative grammar and Marr's three-level program for cognitive science to defend the Evaluation Metric as a psychological theory of language learning. Focusing on well-established facts of language variation, change, and use, I argue that optimal statistical principles embodied in Bayesian inference models are ill-suited for language acquisition. Specific attention will be given to the Subset Problem: Indirect negative evidence, which can be attractively formulated in the Bayesian framework, is ineffective when the statistical properties of language are examined in detail. As an alternative, I suggest that the Tolerance Principle (Yang 2016) provides a unified solution for the problem of induction and generalization: It bridges the computational and algorithm levels in Marr's formulation, while retaining the commitment to the formal and empirical constraints in child language development.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative; Information Analyses
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A