Learning Through Transcription

Mat Bettinson; Steven Bird

doi:10.18653/v1/2022.computel-1.11

Learning Through Transcription

Mat Bettinson, Steven Bird

Northern Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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Abstract

Transcribing speech for primarily oral, local languages is often a joint effort involving speakers and outsiders. It is commonly motivated by externally-defined scientific goals, alongside local motivations such as language acquisition and access to heritage materials. We explore the task of 'learning through transcription' through the design of a system for collaborative speech annotation. We have developed a prototype to support local and remote learner-speaker interactions in remote Aboriginal communities in northern Australia. We show that situated systems design for inclusive non-expert practice is a promising new direction for working with speakers of local languages.

Original language	English
Title of host publication	Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Editors	Sarah Moeller, Antonios Anastasopoulos, Antti Arppe, Aditi Chaudhary, Atticus Harrigan, Josh Holden, Jordan Lachler, Alexis Palmer, Shruti Rijhwani, Lane Schwartz
Place of Publication	Pennsylvania
Publisher	Association for Computational Linguistics (ACL)
Pages	83-92
Number of pages	10
Edition	1
ISBN (Electronic)	9781955917308
DOIs	https://doi.org/10.18653/v1/2022.computel-1.11
Publication status	Published - May 2022
Event	5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, COMPUTEL 2022 - Dublin, Ireland Duration: 26 May 2022 → 27 May 2022 Conference number: 5

Publication series

Name	COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop

Conference

Conference	5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, COMPUTEL 2022
Abbreviated title	ComputEL 2022
Country/Territory	Ireland
City	Dublin
Period	26/05/22 → 27/05/22

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10.18653/v1/2022.computel-1.11Licence: CC BY

58987365-oaFinal published version, 4.02 MBLicence: CC BY

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Bettinson, M., & Bird, S. (2022). Learning Through Transcription. In S. Moeller, A. Anastasopoulos, A. Arppe, A. Chaudhary, A. Harrigan, J. Holden, J. Lachler, A. Palmer, S. Rijhwani, & L. Schwartz (Eds.), Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages (1 ed., pp. 83-92). (COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.computel-1.11

Bettinson, Mat ; Bird, Steven. / Learning Through Transcription. Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages. editor / Sarah Moeller ; Antonios Anastasopoulos ; Antti Arppe ; Aditi Chaudhary ; Atticus Harrigan ; Josh Holden ; Jordan Lachler ; Alexis Palmer ; Shruti Rijhwani ; Lane Schwartz. 1. ed. Pennsylvania : Association for Computational Linguistics (ACL), 2022. pp. 83-92 (COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop).

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title = "Learning Through Transcription",

abstract = "Transcribing speech for primarily oral, local languages is often a joint effort involving speakers and outsiders. It is commonly motivated by externally-defined scientific goals, alongside local motivations such as language acquisition and access to heritage materials. We explore the task of 'learning through transcription' through the design of a system for collaborative speech annotation. We have developed a prototype to support local and remote learner-speaker interactions in remote Aboriginal communities in northern Australia. We show that situated systems design for inclusive non-expert practice is a promising new direction for working with speakers of local languages.",

author = "Mat Bettinson and Steven Bird",

note = "Funding Information: We are grateful to the Bininj people of Northern Australia for the opportunity to work with them on the Kunwinjku language (ISO gup). This research has been supported by a grant from the Australian Research Council entitled Learning English and Aboriginal Languages for Work, and the Indigenous Languages and Arts Program entitled Mobile Software for Oral Language Learning in Arnhem Land. Our work with Bininj is covered by a research permit from the Northern Land Council and approvals from the board of Warddeken Land Management and the CDU Human Research Ethics Committee. ; 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, COMPUTEL 2022, ComputEL 2022 ; Conference date: 26-05-2022 Through 27-05-2022",

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doi = "10.18653/v1/2022.computel-1.11",

language = "English",

series = "COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop",

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editor = "Sarah Moeller and Antonios Anastasopoulos and Antti Arppe and Aditi Chaudhary and Atticus Harrigan and Josh Holden and Jordan Lachler and Alexis Palmer and Shruti Rijhwani and Lane Schwartz",

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Bettinson, M & Bird, S 2022, Learning Through Transcription. in S Moeller, A Anastasopoulos, A Arppe, A Chaudhary, A Harrigan, J Holden, J Lachler, A Palmer, S Rijhwani & L Schwartz (eds), Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages. 1 edn, COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop, Association for Computational Linguistics (ACL), Pennsylvania, pp. 83-92, 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, COMPUTEL 2022, Dublin, Ireland, 26/05/22. https://doi.org/10.18653/v1/2022.computel-1.11

Learning Through Transcription. / Bettinson, Mat; Bird, Steven.
Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages. ed. / Sarah Moeller; Antonios Anastasopoulos; Antti Arppe; Aditi Chaudhary; Atticus Harrigan; Josh Holden; Jordan Lachler; Alexis Palmer; Shruti Rijhwani; Lane Schwartz. 1. ed. Pennsylvania: Association for Computational Linguistics (ACL), 2022. p. 83-92 (COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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Bettinson M, Bird S. Learning Through Transcription. In Moeller S, Anastasopoulos A, Arppe A, Chaudhary A, Harrigan A, Holden J, Lachler J, Palmer A, Rijhwani S, Schwartz L, editors, Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages. 1 ed. Pennsylvania: Association for Computational Linguistics (ACL). 2022. p. 83-92. (COMPUTEL 2022 - 5th Workshop on the Use of Computational Methods in the Study of Endangered Languages, Proceedings of the Workshop). doi: 10.18653/v1/2022.computel-1.11

Learning Through Transcription

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