File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Production and Substantive Bias in Phonological Learning

TitleProduction and Substantive Bias in Phonological Learning
Authors
KeywordsProduction
Learning biases
Artificial language learning
Postnasal voicing
Issue Date2021
PublisherLinguistic Society of America.
Citation
Proceedings of the 2020 Annual Meeting on Phonology (AMP), Virtual Meeting, University of California, Santa Cruz, USA, 18-20 September 2020 How to Cite?
AbstractThe role of inductive biases has been actively examined in work on phonological learning. While previous studies systematically supported a structural bias hypothesis, i.e., patterns with simpler phonological featural descriptions are easier to learn, the results have been mixed for a substantive bias hypothesis, i.e., phonetically motivated patterns are easier to learn. This study explores an explanation for the uncertain status of substantive bias in phonological learning. Among the aspects of phonetic substance, we focus on articulatory factors. We hypothesize that practice producing phonological patterns makes salient to learners the articulatory factors underlying articulatorily (un-)grounded patterns. An artificial language learning experiment was conducted to test the learning of postnasal (de)voicing, a pattern which is primarily grounded on articulatory components. We examine the role of production in the learning of articulatorily grounded (postnasal voicing) vs. ungrounded patterns (postnasal devoicing), by comparing the outcomes of perception-only vs. perception-with-production learning contexts, both in categorical and variable pattern learning conditions. The results show evidence for a production effect, but it was restricted to certain contexts, namely those involving a higher level of uncertainty and for languages exhibiting dominant natural patterns. We discuss the implications of our findings for phonological learning and language change.
Persistent Identifierhttp://hdl.handle.net/10722/301542
ISSN

 

DC FieldValueLanguage
dc.contributor.authorDo, Y-
dc.contributor.authorHavenhill, JE-
dc.date.accessioned2021-08-09T03:40:35Z-
dc.date.available2021-08-09T03:40:35Z-
dc.date.issued2021-
dc.identifier.citationProceedings of the 2020 Annual Meeting on Phonology (AMP), Virtual Meeting, University of California, Santa Cruz, USA, 18-20 September 2020-
dc.identifier.issn2377-3324-
dc.identifier.urihttp://hdl.handle.net/10722/301542-
dc.description.abstractThe role of inductive biases has been actively examined in work on phonological learning. While previous studies systematically supported a structural bias hypothesis, i.e., patterns with simpler phonological featural descriptions are easier to learn, the results have been mixed for a substantive bias hypothesis, i.e., phonetically motivated patterns are easier to learn. This study explores an explanation for the uncertain status of substantive bias in phonological learning. Among the aspects of phonetic substance, we focus on articulatory factors. We hypothesize that practice producing phonological patterns makes salient to learners the articulatory factors underlying articulatorily (un-)grounded patterns. An artificial language learning experiment was conducted to test the learning of postnasal (de)voicing, a pattern which is primarily grounded on articulatory components. We examine the role of production in the learning of articulatorily grounded (postnasal voicing) vs. ungrounded patterns (postnasal devoicing), by comparing the outcomes of perception-only vs. perception-with-production learning contexts, both in categorical and variable pattern learning conditions. The results show evidence for a production effect, but it was restricted to certain contexts, namely those involving a higher level of uncertainty and for languages exhibiting dominant natural patterns. We discuss the implications of our findings for phonological learning and language change.-
dc.languageeng-
dc.publisherLinguistic Society of America.-
dc.relation.ispartofProceedings of the Annual Meeting of Phonology (AMP) 2020-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.rightsCopyright (c) 2021 Youngah Do, Jonathan Havenhill-
dc.subjectProduction-
dc.subjectLearning biases-
dc.subjectArtificial language learning-
dc.subjectPostnasal voicing-
dc.titleProduction and Substantive Bias in Phonological Learning-
dc.typeConference_Paper-
dc.identifier.emailDo, Y: youngah@hku.hk-
dc.identifier.emailHavenhill, JE: jhavenhill@hku.hk-
dc.identifier.authorityDo, Y=rp02160-
dc.identifier.authorityHavenhill, JE=rp02445-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3765/amp.v9i0.4925-
dc.identifier.hkuros323891-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats