Abstract
An increasing number of papers have been addressing issues related to low-resource languages and the transcription bottleneck paradigm. After several years spent in Northern Australia, where some of the strongest Aboriginal languages are spoken, we could observe a gap between the motivations depicted in research contributions in this space and the Northern Australian context. In this paper, we address this gap in research by exploring the potential of speech recognition in an Aboriginal community. We describe our work from training a spoken term detection system to its implementation in an activity with Aboriginal participants. We report here on one side how speech recognition technologies can find their place in an Aboriginal context and, on the other, methodological paths that allowed us to reach better comprehension and engagement from Aboriginal participants.
Original language | English |
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Title of host publication | Proceedings of the 29th International Conference on Computational Linguistics |
Place of Publication | Gyeongju |
Publisher | International Committee on Computational Linguistics |
Pages | 4274-4285 |
Number of pages | 12 |
Edition | 1 |
Publication status | Published - 1 Oct 2022 |
Event | The 29th International Conference on Computational Linguistics - Gyeongju, Korea, Republic of Duration: 12 Oct 2022 → 17 Oct 2022 https://coling2022.org/ |
Conference
Conference | The 29th International Conference on Computational Linguistics |
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Abbreviated title | COLING |
Country/Territory | Korea, Republic of |
City | Gyeongju |
Period | 12/10/22 → 17/10/22 |
Internet address |