Enabling Interactive Transcription in an Indigenous Community

Eric Le Ferrand; Steven Bird; Laurent Besacier

doi:10.18653/v1/2020.coling-main.303

Enabling Interactive Transcription in an Indigenous Community

Eric Le Ferrand, Steven Bird, Laurent Besacier

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

11 Citations (Scopus)

52 Downloads (Pure)

Abstract

We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of transcription, when the available data is insufficient to train a robust ASR system, it is possible to take advantage of the transcription of a small number of isolated words in order to bootstrap the transcription of a speech collection.

Original language	English
Title of host publication	COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference
Editors	Donia Scott, Nuria Bel, Chengqing Zong
Place of Publication	Czech Republic
Publisher	Association for Computational Linguistics (ACL)
Pages	3422-3428
Number of pages	7
Volume	1
ISBN (Electronic)	9781952148279
DOIs	https://doi.org/10.18653/v1/2020.coling-main.303
Publication status	Published - 2020
Event	28th International Conference on Computational Linguistics, COLING 2020 - Virtual, Online, Spain Duration: 8 Dec 2020 → 13 Dec 2020

Publication series

Name	COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference

Conference

Conference	28th International Conference on Computational Linguistics, COLING 2020
Country/Territory	Spain
City	Virtual, Online
Period	8/12/20 → 13/12/20

Bibliographical note

Funding Information:
We are grateful to the Bininj people of Northern Australia for the opportunity to work in their community, and particularly to artists at Injalak Arts and Craft (Gunbalanya) and to the Warddeken Rangers (Kabulwarnamyo). Our thanks to several anonymous reviewers for helpful feedback on earlier versions of this paper. The lexical confirmation app presented in this paper has been designed by Mat Bettinson, at Charles Darwin University. This research was covered by a research permit from the Northern Land Council, ethics approved from CDU and was supported by the Australian government through a PhD scholarship, and grants from the Australian Research Council and the Indigenous Language and Arts Program.

Publisher Copyright:
© 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved.

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10.18653/v1/2020.coling-main.303Licence: CC BY

36427015-oaFinal published version, 2.79 MBLicence: CC BY

Cite this

Le Ferrand, E., Bird, S., & Besacier, L. (2020). Enabling Interactive Transcription in an Indigenous Community. In D. Scott, N. Bel, & C. Zong (Eds.), COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference (Vol. 1, pp. 3422-3428). (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.coling-main.303

Le Ferrand, Eric ; Bird, Steven ; Besacier, Laurent. / Enabling Interactive Transcription in an Indigenous Community. COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. editor / Donia Scott ; Nuria Bel ; Chengqing Zong. Vol. 1 Czech Republic : Association for Computational Linguistics (ACL), 2020. pp. 3422-3428 (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference).

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Le Ferrand, E, Bird, S & Besacier, L 2020, Enabling Interactive Transcription in an Indigenous Community. in D Scott, N Bel & C Zong (eds), COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. vol. 1, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics (ACL), Czech Republic, pp. 3422-3428, 28th International Conference on Computational Linguistics, COLING 2020, Virtual, Online, Spain, 8/12/20. https://doi.org/10.18653/v1/2020.coling-main.303

Enabling Interactive Transcription in an Indigenous Community. / Le Ferrand, Eric; Bird, Steven; Besacier, Laurent.
COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. ed. / Donia Scott; Nuria Bel; Chengqing Zong. Vol. 1 Czech Republic: Association for Computational Linguistics (ACL), 2020. p. 3422-3428 (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference).

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

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AB - We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of transcription, when the available data is insufficient to train a robust ASR system, it is possible to take advantage of the transcription of a small number of isolated words in order to bootstrap the transcription of a speech collection.

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Le Ferrand E, Bird S, Besacier L. Enabling Interactive Transcription in an Indigenous Community. In Scott D, Bel N, Zong C, editors, COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. Vol. 1. Czech Republic: Association for Computational Linguistics (ACL). 2020. p. 3422-3428. (COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference). doi: 10.18653/v1/2020.coling-main.303

Enabling Interactive Transcription in an Indigenous Community

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