File:From text to talk- ACL 2022 NLP position paper -acl2022nlp.webm
Original file (WebM audio/video file, VP9/Opus, length 12 min 9 s, 1,920 × 1,080 pixels, 1.17 Mbps overall, file size: 101.42 MB)
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English: Preview and pre-recorded presentation accompanying the ACL 2022 paper "From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology" by Mark Dingemanse and Andreas Liesenfeld, Radboud University.
ACL Anthology link: https://aclanthology.org/2022.acl-long.385/ Preprint, code & materials: https://osf.io/m43zh/ In case you consider reusing or remixing this material, we release it under a Creative Commons Attribution Non-Commercial license: https://creativecommons.org/licenses/by-nc/4.0/ For attribution, we ask that you (1) cite the paper including a link to the DOI of its most definitive version and (2) link to the visual preview. The most update attribution information is: Dingemanse, M., & Liesenfeld, A. (2022). From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 5614–5633. Dublin: Association for Computational Linguistics. doi: 10.18653/v1/2022.acl-long.385 |
| Date | |
| Source | YouTube: From text to talk: ACL 2022 NLP position paper #acl2022nlp – View/save archived versions on archive.org and archive.today |
| Author | Mark Ding |
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YouTube: From text to talk: ACL 2022 NLP position paper #acl2022nlp – View/save archived versions on archive.org and archive.today, was reviewed on 29 July 2023 by reviewer Modern primat, who confirmed that it was available there under the stated license on that date.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 09:36, 4 October 2022 | 12 min 9 s, 1,920 × 1,080 (101.42 MB) | Vysotsky (talk | contribs) | Imported media from https://www.youtube.com/watch?v=rCNqW1tbjpg |
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