COLING 2024main0 citations
Khan Academy Corpus: A Multilingual Corpus of Khan Academy Lectures
Dominika Ďurišková, Daniela Jurášová, Matúš Žilinec, Eduard Šubert, Ondřej Bojar
Abstract
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.
BibTeX
@inproceedings{duriskova-etal-2024-khan,
title = "Khan Academy Corpus: A Multilingual Corpus of Khan Academy Lectures",
author = "{\v{D}}uri{\v{s}}kov{\'a}, Dominika and
Jur{\'a}{\v{s}}ov{\'a}, Daniela and
{\v{Z}}ilinec, Mat{\'u}{\v{s}} and
{\v{S}}ubert, Eduard and
Bojar, Ond{\v{r}}ej",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.851/",
pages = "9743--9752"
}