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.
- Urls: https://aclanthology.org/2022.computel-1.11/
- Publisher Location: Dublin