| license: cc-by-nc-4.0 | |
| # ANETAC: Arabic Named Entity Transliteration and Classification Dataset | |
| ## Description | |
| ANETAC our English-Arabic named entity transliteration and classification dataset that we built from freely available parallel translation corpora. The dataset contains 79,924 instances, each instance is a triplet (e, a, c), where e is the English named entity, a is its Arabic transliteration and c is its class that can be either a Person, a Location, or an Organization. The ANETAC dataset is mainly aimed for the researchers that are working on Arabic named entity transliteration, but it can also be used for named entity classification purposes. | |
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| ## Statistics | |
| The statistics **for** the dataset are provided in the below Table: | |
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| ## Citations | |
| If you want to use the dataset please cite the following arXiv paper: | |
| ``` | |
| @article{ameur2019anetac, | |
| title={Anetac: Arabic named entity transliteration and classification dataset}, | |
| author={Ameur, Mohamed Seghir Hadj and Meziane, Farid and Guessoum, Ahmed}, | |
| journal={arXiv preprint arXiv:1907.03110}, | |
| year={2019} | |
| } | |
| ``` | |
| ## Contacts: | |
| For all questions please contact ``mohamedhadjameur@gmail.com`` | |