Identifying cross-lingual plagiarism using rich semantic features and deep neural networks: A study on Arabic-English plagiarism cases

Author:

Alzahrani Salha,Aljuaid Hanan

Funder

Deanship of Scientific Research

Publisher

Elsevier BV

Subject

General Computer Science

Reference112 articles.

1. AbdulJaleel, N., Larkey, L.S. Statistical transliteration for english-arabic cross language information retrieval. In: Paper presented at the Proceedings of the Twelfth International Conference on Information and Knowledge Management, New Orleans, LA, USA.

2. Cross-language plagiarism of Arabic-English documents using linear logistic regression;Alaa;J. Theor. Appl. Inform. Technol.,2016

3. Alian, M., Awajan, A., 2018. Arabic semantic similarity approaches - review. In: 2018 International Arab Conference on Information Technology (ACIT), 28–30 Nov. 2018, pp. 1–6.

4. Aljlayl, M., Frieder, O. Effective arabic-english cross-language information retrieval via machine-readable dictionaries and machine translation. In: Paper presented at the Proceedings of the Tenth International Conference on Information and Knowledge Management, Atlanta, Georgia, USA.

5. Alotaibi, H., 2017. Arabic-English Parallel Corpus: A New Resource for Translation Training and Language Teaching, vol. 8.

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