A Computational Model for Interactive Transcription

William Abbott Lane; Mat Bettinson; Steven Bird

A Computational Model for Interactive Transcription

William Abbott Lane, Mat Bettinson, Steven Bird

Northern Institute

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

5 Citations (Scopus)

65 Downloads (Pure)

Abstract

Transcribing low resource languages can be challenging in the absence of a comprehensive lexicon and proficient transcribers. Accordingly, we seek a way to enable interactive transcription, whereby the machine amplifies human efforts. This paper presents a computational model for interactive transcription, supporting multiple modes of interactivity and increasing the likelihood of finding tasks that stimulate local participation. The approach also supports other applications which are useful in low resource contexts, including spoken document retrieval and language learning.

Original language	English
Title of host publication	DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop
Subtitle of host publication	Language Advances, Proceedings
Editors	Eduard Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic
Place of Publication	USA
Publisher	Association for Computational Linguistics (ACL)
Pages	105-111
Number of pages	7
Edition	1
ISBN (Electronic)	9781954085398
Publication status	Published - Jun 2021
Event	2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021 - Virtual, Online Duration: 11 Jun 2021 → …

Publication series

Name	DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings

Conference

Conference	2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021
City	Virtual, Online
Period	11/06/21 → …

Bibliographical note

Funding Information:
We are grateful for the support of the Warddeken Rangers of West Arnhem. This work was covered by a research permit from the Northern Land Coun-cil, and was sponsored by the Australian govern-The user interface is designed to be navigable en-ment through a PhD scholarship, and grants from tirely through the keyboard, to support ergonomic the Australian Research Council and the Indige-transcription (cf. Luz et al., 2008). nous Language and Arts Program.

Publisher Copyright:
© 2021 Association for Computational Linguistics

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

Access to Document

46554141-oaFinal published version, 1.09 MBLicence: CC BY

Cite this

Lane, W. A., Bettinson, M., & Bird, S. (2021). A Computational Model for Interactive Transcription. In E. Dragut, Y. Li, L. Popa, & S. Vucetic (Eds.), DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings (1 ed., pp. 105-111). (DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings). Association for Computational Linguistics (ACL).

Lane, William Abbott ; Bettinson, Mat ; Bird, Steven. / A Computational Model for Interactive Transcription. DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings. editor / Eduard Dragut ; Yunyao Li ; Lucian Popa ; Slobodan Vucetic. 1. ed. USA : Association for Computational Linguistics (ACL), 2021. pp. 105-111 (DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings).

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author = "Lane, {William Abbott} and Mat Bettinson and Steven Bird",

note = "Funding Information: We are grateful for the support of the Warddeken Rangers of West Arnhem. This work was covered by a research permit from the Northern Land Coun-cil, and was sponsored by the Australian govern-The user interface is designed to be navigable en-ment through a PhD scholarship, and grants from tirely through the keyboard, to support ergonomic the Australian Research Council and the Indige-transcription (cf. Luz et al., 2008). nous Language and Arts Program. Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021 ; Conference date: 11-06-2021",

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Lane, WA, Bettinson, M & Bird, S 2021, A Computational Model for Interactive Transcription. in E Dragut, Y Li, L Popa & S Vucetic (eds), DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings. 1 edn, DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings, Association for Computational Linguistics (ACL), USA, pp. 105-111, 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021, Virtual, Online, 11/06/21.

A Computational Model for Interactive Transcription. / Lane, William Abbott; Bettinson, Mat; Bird, Steven.
DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings. ed. / Eduard Dragut; Yunyao Li; Lucian Popa; Slobodan Vucetic. 1. ed. USA: Association for Computational Linguistics (ACL), 2021. p. 105-111 (DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings).

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

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N1 - Funding Information: We are grateful for the support of the Warddeken Rangers of West Arnhem. This work was covered by a research permit from the Northern Land Coun-cil, and was sponsored by the Australian govern-The user interface is designed to be navigable en-ment through a PhD scholarship, and grants from tirely through the keyboard, to support ergonomic the Australian Research Council and the Indige-transcription (cf. Luz et al., 2008). nous Language and Arts Program. Publisher Copyright: © 2021 Association for Computational Linguistics Copyright: Copyright 2022 Elsevier B.V., All rights reserved.

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N2 - Transcribing low resource languages can be challenging in the absence of a comprehensive lexicon and proficient transcribers. Accordingly, we seek a way to enable interactive transcription, whereby the machine amplifies human efforts. This paper presents a computational model for interactive transcription, supporting multiple modes of interactivity and increasing the likelihood of finding tasks that stimulate local participation. The approach also supports other applications which are useful in low resource contexts, including spoken document retrieval and language learning.

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Lane WA, Bettinson M, Bird S. A Computational Model for Interactive Transcription. In Dragut E, Li Y, Popa L, Vucetic S, editors, DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings. 1 ed. USA: Association for Computational Linguistics (ACL). 2021. p. 105-111. (DaSH-LA 2021 - 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, Proceedings).

A Computational Model for Interactive Transcription

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