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| Anetac: Arabic Named Entity Transliteration and Classification Dataset (arxiv.org) | |
| 2 points by sel1 on Jul 10, 2019 | hide | past | pdf | discuss on HN | |
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In plain words: A free collection pairs English names with their Arabic spellings and a label of person, place, or organization, drawn from open translation texts. It holds 79,924 entries for training systems that write Arabic versions of names or sort them by type. Abstract · ANETAC: Arabic Named Entity Transliteration and Classification DatasetIn 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. | |
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