Khan Academy Corpus: A multilingual corpus of Khan Academy lectures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492923" target="_blank" >RIV/00216208:11320/24:10492923 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2024.lrec-main.851/" target="_blank" >https://aclanthology.org/2024.lrec-main.851/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Khan Academy Corpus: A multilingual corpus of Khan Academy lectures
Original language description
We present the Khan Academy Corpus totalling 10122 hours in 87394 recordings across 29 languages, where 43% of recordings (4252 hours) are equipped with human-written subtitles. The subtitle texts cover a total of 137 languages. The dataset was collected from open access Khan Academy lectures, benefiting from their manual transcripts and manual translations of the transcripts. The dataset can serve in creation or evaluation of multilingual speech recognition or translation systems, featuring a diverse set of subject domains.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
ISBN
978-2-493-81410-4
ISSN
2522-2686
e-ISSN
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Number of pages
10
Pages from-to
9743-9752
Publisher name
European Language Resources Association
Place of publication
Torino, Italy
Event location
Torino, Italy
Event date
May 22, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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