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A pipeline for the creation of multimodal corpora from YouTube videos

Abstract:
This paper introduces an open-source pipeline for the creation of multimodal corpora from YouTube videos. It minimizes storage and bandwidth requirements, because the videos themselves need not be downloaded and can remain on YouTube’s servers. It also minimizes processing requirements by using YouTube’s automatically generated subtitles, thus avoiding a computationally expensive automatic speech recognition processing step. The pipeline combines standard tools and provides as its output a corpus file in the industry-standard vertical format used by many corpus managers. It is straightforwardly extensible with the addition of further levels of annotation and can be adapted to languages other than English.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
https://aclanthology.org/2023.limo-1.1

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Institution:
University of Oxford
Division:
SSD
Department:
OSGA
Role:
Author
ORCID:
0000-0002-3036-2104


Publisher:
Association for Computational Lingustics
Host title:
Proceedings of the 1st Workshop on Linguistic Insights from and for Multimodal Language Processing
Pages:
1–5
Publication date:
2023-09-01
Acceptance date:
2023-08-21
Event title:
Linguistic Insights from and for Multimodal Language Processing @KONVENS 2023 (LIMO 2023)
Event location:
Ingolstadt, Germany
Event website:
https://sites.google.com/view/limo2023/home
Event start date:
2023-09-22
Event end date:
2023-09-22
ISBN:
979-8-89176-031-8


Language:
English
Pubs id:
1560567
Local pid:
pubs:1560567
Deposit date:
2023-11-09

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