ANETAC: Arabic named entity transliteration and classification dataset

Hadj Ameur, MS, Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914 and Guessoum, A 2019, ANETAC: Arabic named entity transliteration and classification dataset [Dataset].

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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].

Item Type:	Dataset
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Publisher:	GitHub
Related URLs:	https://github.com/MohamedHadjAmeur/ANET... Publication
Depositing User:	Prof Farid Meziane
Date Deposited:	11 Jul 2019 14:03
Last Modified:	03 Jan 2020 13:22
URI:	http://usir.salford.ac.uk/id/eprint/51782

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