ANETAC: Arabic named entity transliteration and classification dataset

Hadj Ameur, MS; Meziane, F; Guessoum, A

Abstract

In this paper, we make freely accessible 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. This dataset was developed and used as part of a previous research study done by Hadj Ameur et al. [1].

Citation

Hadj Ameur, M., Meziane, F., & Guessoum, A. (2019). ANETAC: Arabic named entity transliteration and classification dataset

• Other Type: Manual / Guide
• Publication Date: Jul 6, 2019
• Deposit Date: Jul 11, 2019
• Publicly Available Date: Jul 11, 2019
• Related Public URLs: https://arxiv.org/pdf/1907.03110.pdf
• Additional Information: Additional Information : The ANETAC dataset is freely available on Githubhttps://github.com/MohamedHadjAmeur/ANETAC