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The ESCWA-CS Corpus was collected over two days of meetings of the United Nations Economic and Social Commission for Western Asia (ESCWA) held in 2019.
It contains intra-sentential code-switching between Arabic and English, with some speakers—particularly from Algeria, Tunisia, and Morocco—alternating between Arabic and French.
The dataset spans approximately 2.8 hours of speech, featuring dialectal Arabic and a Code Mixing Index (CMI) of around 28%.
It serves as a valuable resource for studying bilingual and multilingual speech, dialectal variation, and code-mixing phenomena in spontaneous meeting conversations.
| Feature | Description |
|---|---|
| Type | Speech Corpus |
| Languages | Arabic, English, French (code-mixed) |
| Collection Context | ESCWA meetings, 2019 |
| Duration | ~2.8 hours |
| Phenomena | Code-switching, Dialectal Arabic |
| Code Mixing Index (CMI) | ~28% |
If you use this dataset in your research, please cite the following paper:
@inproceedings{chowdhury2018towards,
title={Towards Bangla Named Entity Recognition},
author={Chowdhury, Shammur Absar and Alam, Firoj and Khan, Naira},
booktitle={Proc. of ICCIT},
year={2018},
organization={IEEE}
}
@inproceedings{ali_arabic_2021,
title = {Arabic {Code}-{Switching} {Speech} {Recognition} using {Monolingual} {Data}},
booktitle = {{{{Proc. of INTERSPEECH}}}},
author = {Ali, Ahmed and Chowdhury, Shammur and Hussein, Amir and Yasser, Hifny},
year = {2021},
}