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Constructing Arabic Language Resources from Google N-gram Dataset

Journal of physics. Conference series, 2020-05, Vol.1530 (1), p.12048 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1530/1/012048

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  • Title:
    Constructing Arabic Language Resources from Google N-gram Dataset
  • Author: Qasim Habeeb, Imad ; Qasim Habeeb, Zeyad ; Naser Jurn, Yaseen ; Najm Abdulkhudhur, Hanan
  • Subjects: Arabic language ; Datasets ; Natural language processing
  • Is Part Of: Journal of physics. Conference series, 2020-05, Vol.1530 (1), p.12048
  • Description: The Google N-gram dataset contains millions of books in 22 different categories. Therefore, it is used widely as a language resource in natural language processing. The Arabic language has several resources, but most of them are small in size. As with any research, if training resources are large, then the validity of any research is higher. To build a new language resource manually by humans take years to accomplish, but using automatic methods can be done in a few days. Google N-gram dataset does not support the Arabic language yet. This will cause a challenge for researchers who use this dataset for extracting Arabic text. In this paper, an extraction method that can produce a lexicon and N-gram corpus from the English Google N-gram dataset is presented. The steps to build these recourses and to overcome Google N-gram dataset challenges are explained. The experiment results show the success of the proposed method in the automatic construction of the resources in a short time. This method will be useful to researchers in several research fields.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1530/1/012048
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    IOPscience (Open Access)
    IOP 英国物理学会OA刊
    ProQuest Central
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