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| license: cc-by-nc-4.0 | |
| extra_gated_heading: QCRI-ALT Corpus License Agreement | |
| extra_gated_prompt: >- | |
| By requesting access, you agree to the QCRI-ALT Creative commons Attribution | |
| Non Commercial 4.0 (cc-by-nc-4.0) license. | |
| extra_gated_button_content: Agree & Request Access | |
| extra_gated_fields: | |
| Full Name: text | |
| Institution: text | |
| Purpose of Use: text | |
| Country: country | |
| language: | |
| - ar | |
| - en | |
| tags: | |
| - Arabic | |
| - English | |
| - Code-switching | |
| pretty_name: ESCWA-CS Corpus | |
| # 🗣️ ESCWA-CS Corpus | |
| 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. | |
| --- | |
| ## 📘 Dataset Overview | |
| | 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% | | |
| --- | |
| ## 📄 Citation | |
| If you use this dataset in your research, please cite the following paper: | |
| ```bibtex | |
| @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}, | |
| } |