metadata
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.
Statistics
The statistics for the dataset are provided in the below Table:
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 [email protected]