{
 "id": "ymoslem/acl-6060",
 "owner": "ymoslem",
 "name": "acl-6060",
 "downloads": 128,
 "likes": 1,
 "last_modified": "2025-03-14T19:14:58.000Z",
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 "licence_name": null,
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 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "translation",
  "automatic-speech-recognition"
 ],
 "citation": "@inproceedings{salesky-etal-2023-evaluating,\n    title = \"Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology\",\n    author = \"Salesky, Elizabeth  and\n      Darwish, Kareem  and\n      Al-Badrashiny, Mohamed  and\n      Diab, Mona  and\n      Niehues, Jan\",\n    booktitle = \"Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)\",\n    month = jul,\n    year = \"2023\",\n    address = \"Toronto, Canada\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2023.iwslt-1.2/\",\n    doi = \"10.18653/v1/2023.iwslt-1.2\",\n    pages = \"62--78\",\n    abstract = \"We present the ACL 60/60 evaluation sets for multilingual translation of ACL 2022 technical presentations into 10 target languages. This dataset enables further research into multilingual speech translation under realistic recording conditions with unsegmented audio and domain-specific terminology, applying NLP tools to text and speech in the technical domain, and evaluating and improving model robustness to diverse speaker demographics.\"\n}",
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