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