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 |
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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 |
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Conference
Conference | 2nd Workshop on Data Science with Human-in-the-Loop: Language Advances, DaSH-LA 2021 |
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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.