A Corpus for Evaluation of Cross Language Text Re-use Detection Systems

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mohtaj Salar; Asghari Habibollah

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Information Systems and Telecommunication Year:2022 | Volume:10 | Issue:3 (39) Page(s): 169-179

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

A Corpus for Evaluation of Cross Language Text Re-use Detection Systems

Author(s)

Mohtaj Salar | Asghari Habibollah | Issue Writer Certificate

Keywords

Cross language plagiarism detection

Corpus

Text re-use detection

Obfuscation

Abstract

In recent years, the availability of documents through the Internet along with automatic translation systems have increased plagiarism, especially across languages. Cross-lingual plagiarism occurs when the source or original text is in one language and the plagiarized or re-used text is in another language. Various methods for automatic Text re-use detection across languages have been developed whose objective is to assist human experts in analyzing documents for plagiarism cases. For evaluating the performance of these systems and algorithms, standard evaluation resources are needed. To construct cross lingual plagiarism detection corpora, the majority of earlier studies have paid attention to English and other European language pairs, and have less focused on low resource languages. In this paper, we investigate a method for constructing an English-Persian cross-language plagiarism detection Corpus based on parallel bilingual sentences that artiﬁ cially generate passages with various degrees of paraphrasing. The plagiarized passages are inserted into topically related English and Persian Wikipedia articles in order to have more realistic text documents. The proposed approach can be applied to other less-resourced languages. In order to evaluate the compiled Corpus, both intrinsic and extrinsic evaluation methods were employed. So, the compiled Corpus can be suitably included into an evaluation framework for assessing cross-language plagiarism detection systems. Our proposed Corpus is free and publicly available for research purposes.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Mohtaj, Salar, & Asghari, Habibollah. (2022). A Corpus for Evaluation of Cross Language Text Re-use Detection Systems. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 10(3 (39)), 169-179. SID. https://sid.ir/paper/991929/en

Vancouver: Copy

Mohtaj Salar, Asghari Habibollah. A Corpus for Evaluation of Cross Language Text Re-use Detection Systems. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2022;10(3 (39)):169-179. Available from: https://sid.ir/paper/991929/en

IEEE: Copy

Salar Mohtaj, and Habibollah Asghari, “A Corpus for Evaluation of Cross Language Text Re-use Detection Systems,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 10, no. 3 (39), pp. 169–179, 2022, [Online]. Available: https://sid.ir/paper/991929/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops