Breaking down the transcription bottleneck: Contextualizing the choice of annotation techniques in language work
| dc.contributor.speaker | Starlight, Bruce | |
| dc.contributor.speaker | Crane-Starlight, Janelle | |
| dc.contributor.speaker | Big Crow, Hanna | |
| dc.contributor.speaker | Arppe, Antti | |
| dc.contributor.speaker | Cox, Christopher | |
| dc.date.accessioned | 2026-05-02T01:30:59Z | |
| dc.date.available | 2026-05-02T01:30:59Z | |
| dc.date.begin | 2025-03-08 | |
| dc.date.finish | 2025-03-08 | |
| dc.date.issued | 2025-03-08 | |
| dc.description | We consider the benefits of attending to language teams' unique needs, resources, and workflows when aiming to address the transcription bottleneck. We share related experiences from a community-university partnership to develop a multimedia dictionary, making available open-source software that has significantly improved our segmentation of multi-speaker recordings. | |
| dc.identifier.uri | https://hdl.handle.net/10125/75271 | |
| dc.title | Breaking down the transcription bottleneck: Contextualizing the choice of annotation techniques in language work |
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