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Arabic-English Corpus for Cross-Language Textual Similarity Detection

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Information Science and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 621))

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Abstract

The purpose of cross-language plagiarism detection is to detect similar fragments of text among different languages. There are a limited number of free Arabic-English parallel corpora. This paper reports on the creation of Arabic-English parallel corpora for the estimation of Arabic-English cross-language document similarity detection. The paper discusses available Arabic-English corpora and their limitations. The paper then explains the building of our dataset. The proposed dataset is parallel Arabic-English and involves alignment for different granularities. It is constructed on comparable and parallel corpora and includes human and machine translated text. In addition, the collected texts were written by authors of varying ability. Cross-language plagiarism detection methods are used on the dataset. These methods are then assessed.

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Acknowledgements

This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program.

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Authors and Affiliations

  1. Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University (PNU), 84428, Al Riyad, Saudi Arabia

    Hanan Aljuaid

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  1. Hanan Aljuaid
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Correspondence to Hanan Aljuaid .

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Editors and Affiliations

  1. Kyonggi University, Suwon-si, Korea (Republic of)

    Kuinam J. Kim

  2. School of Games, Hongik University, Chungchengnam-do, Korea (Republic of)

    Hye-Young Kim

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Aljuaid, H. (2020). Arabic-English Corpus for Cross-Language Textual Similarity Detection. In: Kim, K., Kim, HY. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 621. Springer, Singapore. https://doi.org/10.1007/978-981-15-1465-4_52

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  • DOI: https://doi.org/10.1007/978-981-15-1465-4_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1464-7

  • Online ISBN: 978-981-15-1465-4

  • eBook Packages: EngineeringEngineering (R0)

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