Learning through transcription

Learning through transcription Conference Proceedings

Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages

  • Author(s): Bettinson, Mat, Bird, Steven
  • Published: 2022
  • Publisher: Association for Computational Linguistics

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.

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Bettinson, Mat, Bird, Steven, 2022, Learning through transcription, Conference Proceedings, viewed 17 August 2022, https://www.nintione.com.au/?p=30567.

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