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:

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]