CoVoST 2 Arabic-English

Description

End-to-end speech-to-text translation (ST) has recently witnessed an increased interest given its system simplicity, lower inference latency and less compounding errors compared to cascaded ST (i.e. speech recognition + machine translation). End-to-end ST model training, however, is often hampered by the lack of parallel data. Thus, we created CoVoST, a large-scale multilingual ST corpus based on Common Voice, to foster ST research with the largest ever open dataset. Its latest version covers translations from English into 15 languages---Arabic, Catalan, Welsh, German, Estonian, Persian, Indonesian, Japanese, Latvian, Mongolian, Slovenian, Swedish, Tamil, Turkish, Chinese---and from 21 languages into English, including the 15 target languages as well as Spanish, French, Italian, Dutch, Portuguese, Russian. It has total 2,880 hours of speech and is diversified with 78K speakers.

Fields

• path: Filename of the audio file

• sentence: The sentence in the source language

• translation: The sentence in the target language

• client_id: The ID of the speaker of the source language, used for maintaining hygiene in the splits.

Example

path	sentence	translation	client_id
common_voice_ar_19134079.mp3	.هذه ملحوظة مهمة للغاية	That’s a very important note.	f5332db8ce939969b03ff6f9ca6dc548cd0bafcd3da7a06131547f24b0c1ce72a63e3124e6a6801678287c33a7cdd546b78523ee69689f9418d5448809febfc1
common_voice_ar_19134080.mp3	من اخترع هذه الآلة ؟	Who invented this machine?	f5332db8ce939969b03ff6f9ca6dc548cd0bafcd3da7a06131547f24b0c1ce72a63e3124e6a6801678287c33a7cdd546b78523ee69689f9418d5448809febfc1
common_voice_ar_19134081.mp3	ليس لديه بيت ليعيش فيه.	He doesn't have a house to live in.	f5332db8ce939969b03ff6f9ca6dc548cd0bafcd3da7a06131547f24b0c1ce72a63e3124e6a6801678287c33a7cdd546b78523ee69689f9418d5448809febfc1
common_voice_ar_19134082.mp3	ماذا ستفعل في عطلة نهاية الأسبوع ؟	What are you doing this weekend?	f5332db8ce939969b03ff6f9ca6dc548cd0bafcd3da7a06131547f24b0c1ce72a63e3124e6a6801678287c33a7cdd546b78523ee69689f9418d5448809febfc1

Citation

If you use this dataset in your work please cite

@misc{wang2020covost,
    title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},
    author={Changhan Wang and Anne Wu and Juan Pino},
    year={2020},
    eprint={2007.10310},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}