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Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Testing the limits of non-adjacent dependency learning : Statistical segmentation and generalization across domains. / Frost, Rebecca; Isbilen, Erin; Christiansen, M H; Monaghan, Padraic.

Proceedings of the 41st Annual Conference of the Cognitive Science Society. Cognitive Science Society, 2019. p. 1787-1793.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Frost, R, Isbilen, E, Christiansen, MH & Monaghan, P 2019, Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains. in Proceedings of the 41st Annual Conference of the Cognitive Science Society. Cognitive Science Society, pp. 1787-1793, 41st Annual Conference of the Cognitive Science Society, Montreal, Canada, 24/07/19.

APA

Frost, R., Isbilen, E., Christiansen, M. H., & Monaghan, P. (2019). Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains. In Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 1787-1793). Cognitive Science Society.

Vancouver

Frost R, Isbilen E, Christiansen MH, Monaghan P. Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains. In Proceedings of the 41st Annual Conference of the Cognitive Science Society. Cognitive Science Society. 2019. p. 1787-1793

Author

Frost, Rebecca ; Isbilen, Erin ; Christiansen, M H ; Monaghan, Padraic. / Testing the limits of non-adjacent dependency learning : Statistical segmentation and generalization across domains. Proceedings of the 41st Annual Conference of the Cognitive Science Society. Cognitive Science Society, 2019. pp. 1787-1793

Bibtex

@inproceedings{2d0f2f6560024ea7a36f73ed10da1326,
title = "Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains",
abstract = "Achieving linguistic proficiency requires identifying words from speech, and discovering the constraints that govern the way those words are used. In a recent study of non-adjacent dependency learning, Frost and Monaghan (2016) demonstrated that learners may perform these tasks together, using similar statistical processes — contrary to prior suggestions. However, in their study, non-adjacent dependencies were marked by phonological cues (plosive- continuant-plosive structure), which may have influenced learning. Here, we test the necessity of these cues by comparing learning across three conditions; fixed phonology, which contains these cues, varied phonology, which omits them, and shapes, which uses visual shape sequences to assess the generality of statistical processing for these tasks. Participants segmented the sequences and generalized the structure in both auditory conditions, but learning was best when phonological cues were present. Learning was around chance on both tasks for the visual shapes group, indicating statistical processing may critically differ across domains.",
author = "Rebecca Frost and Erin Isbilen and Christiansen, {M H} and Padraic Monaghan",
year = "2019",
month = jul
day = "24",
language = "English",
pages = "1787--1793",
booktitle = "Proceedings of the 41st Annual Conference of the Cognitive Science Society",
publisher = "Cognitive Science Society",
note = "41st Annual Conference of the Cognitive Science Society, COGSCI '19 ; Conference date: 24-07-2019 Through 27-07-2019",
url = "https://cognitivesciencesociety.org/cogsci-2019/",

}

RIS

TY - GEN

T1 - Testing the limits of non-adjacent dependency learning

T2 - 41st Annual Conference of the Cognitive Science Society

AU - Frost, Rebecca

AU - Isbilen, Erin

AU - Christiansen, M H

AU - Monaghan, Padraic

N1 - Conference code: 41st

PY - 2019/7/24

Y1 - 2019/7/24

N2 - Achieving linguistic proficiency requires identifying words from speech, and discovering the constraints that govern the way those words are used. In a recent study of non-adjacent dependency learning, Frost and Monaghan (2016) demonstrated that learners may perform these tasks together, using similar statistical processes — contrary to prior suggestions. However, in their study, non-adjacent dependencies were marked by phonological cues (plosive- continuant-plosive structure), which may have influenced learning. Here, we test the necessity of these cues by comparing learning across three conditions; fixed phonology, which contains these cues, varied phonology, which omits them, and shapes, which uses visual shape sequences to assess the generality of statistical processing for these tasks. Participants segmented the sequences and generalized the structure in both auditory conditions, but learning was best when phonological cues were present. Learning was around chance on both tasks for the visual shapes group, indicating statistical processing may critically differ across domains.

AB - Achieving linguistic proficiency requires identifying words from speech, and discovering the constraints that govern the way those words are used. In a recent study of non-adjacent dependency learning, Frost and Monaghan (2016) demonstrated that learners may perform these tasks together, using similar statistical processes — contrary to prior suggestions. However, in their study, non-adjacent dependencies were marked by phonological cues (plosive- continuant-plosive structure), which may have influenced learning. Here, we test the necessity of these cues by comparing learning across three conditions; fixed phonology, which contains these cues, varied phonology, which omits them, and shapes, which uses visual shape sequences to assess the generality of statistical processing for these tasks. Participants segmented the sequences and generalized the structure in both auditory conditions, but learning was best when phonological cues were present. Learning was around chance on both tasks for the visual shapes group, indicating statistical processing may critically differ across domains.

M3 - Conference contribution/Paper

SP - 1787

EP - 1793

BT - Proceedings of the 41st Annual Conference of the Cognitive Science Society

PB - Cognitive Science Society

Y2 - 24 July 2019 through 27 July 2019

ER -