Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha

Péter Rácz, Alice Mitchell, Joe Blythe

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

We address competing perspectives on how social-indexical meaning is learned in language, using data from artificial language learning experiments and two studies in small-scale societies. Our results indicate that learning social-indexical
meaning is primarily allocentric as opposed to egocentric: speaker success in learning a social-indexical meaning pattern depends on overall exposure to the pattern more than the pattern’s relative importance to the speaker. We base these claims on data from American English-speaking adults, Datooga-speaking children, as well as adults and children speaking Murrinhpatha. The results highlight the importance of widening the sample of methods and data sources in studying how variation in language is learned and maintained.
LanguageEnglish
Title of host publicationCogSci 2018
Subtitle of host publicationProceedings of the 40th Annual Conference of the Cognitive Science Society
EditorsTim Rogers, Marina Rau, Jerry Zhu, Chuck Kalish
Place of PublicationAustin, TX
PublisherCognitive Science Society
Pages2303-2308
Number of pages6
ISBN (Print)9780991196784
Publication statusPublished - 2018
EventAnnual Meeting of the Cognitive Science Society (40th : 2018) - Madison, United States
Duration: 25 Jul 201828 Jul 2018

Conference

ConferenceAnnual Meeting of the Cognitive Science Society (40th : 2018)
Abbreviated titleCogSci 2018
CountryUnited States
CityMadison
Period25/07/1828/07/18

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Rácz, P., Mitchell, A., & Blythe, J. (2018). Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha. In T. Rogers, M. Rau, J. Zhu, & C. Kalish (Eds.), CogSci 2018: Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 2303-2308). Austin, TX: Cognitive Science Society.
Rácz, Péter ; Mitchell, Alice ; Blythe, Joe. / Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha. CogSci 2018: Proceedings of the 40th Annual Conference of the Cognitive Science Society. editor / Tim Rogers ; Marina Rau ; Jerry Zhu ; Chuck Kalish. Austin, TX : Cognitive Science Society, 2018. pp. 2303-2308
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abstract = "We address competing perspectives on how social-indexical meaning is learned in language, using data from artificial language learning experiments and two studies in small-scale societies. Our results indicate that learning social-indexicalmeaning is primarily allocentric as opposed to egocentric: speaker success in learning a social-indexical meaning pattern depends on overall exposure to the pattern more than the pattern’s relative importance to the speaker. We base these claims on data from American English-speaking adults, Datooga-speaking children, as well as adults and children speaking Murrinhpatha. The results highlight the importance of widening the sample of methods and data sources in studying how variation in language is learned and maintained.",
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Rácz, P, Mitchell, A & Blythe, J 2018, Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha. in T Rogers, M Rau, J Zhu & C Kalish (eds), CogSci 2018: Proceedings of the 40th Annual Conference of the Cognitive Science Society. Cognitive Science Society, Austin, TX, pp. 2303-2308, Annual Meeting of the Cognitive Science Society (40th : 2018), Madison, United States, 25/07/18.

Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha. / Rácz, Péter; Mitchell, Alice; Blythe, Joe.

CogSci 2018: Proceedings of the 40th Annual Conference of the Cognitive Science Society. ed. / Tim Rogers; Marina Rau; Jerry Zhu; Chuck Kalish. Austin, TX : Cognitive Science Society, 2018. p. 2303-2308.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

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T1 - Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha

AU - Rácz,Péter

AU - Mitchell,Alice

AU - Blythe,Joe

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N2 - We address competing perspectives on how social-indexical meaning is learned in language, using data from artificial language learning experiments and two studies in small-scale societies. Our results indicate that learning social-indexicalmeaning is primarily allocentric as opposed to egocentric: speaker success in learning a social-indexical meaning pattern depends on overall exposure to the pattern more than the pattern’s relative importance to the speaker. We base these claims on data from American English-speaking adults, Datooga-speaking children, as well as adults and children speaking Murrinhpatha. The results highlight the importance of widening the sample of methods and data sources in studying how variation in language is learned and maintained.

AB - We address competing perspectives on how social-indexical meaning is learned in language, using data from artificial language learning experiments and two studies in small-scale societies. Our results indicate that learning social-indexicalmeaning is primarily allocentric as opposed to egocentric: speaker success in learning a social-indexical meaning pattern depends on overall exposure to the pattern more than the pattern’s relative importance to the speaker. We base these claims on data from American English-speaking adults, Datooga-speaking children, as well as adults and children speaking Murrinhpatha. The results highlight the importance of widening the sample of methods and data sources in studying how variation in language is learned and maintained.

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Rácz P, Mitchell A, Blythe J. Egocentric and allocentric learning of social-indexical meaning in American English, Datooga, and Murrinhpatha. In Rogers T, Rau M, Zhu J, Kalish C, editors, CogSci 2018: Proceedings of the 40th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 2018. p. 2303-2308