Plagiarism is one of the most serious academic offenses. However, people have adopted
different approaches to avoid plagiarism, such as transcribing excerpts from one language …

The rapid growth in the digital era initiates the need to inculcate and preserve the academic
originality of translated texts. Cross-lingual semantic similarity is concerned with identifying …

The main challenge of paraphrase is how to detect the semantic relationship between the
suspect text document and the source text document. Nowadays, the combination of Natural …

Plagiarism and text reuse become more available with the Internet development. Therefore it
is important to check scientific papers for the fact of cheating, especially in Academia …

Abstract Semantic Textual Similarity (STS) is an important component in many Natural
Language Processing (NLP) applications, and plays an important role in diverse areas such …

Abstract In recent years, Cross-Lingual Text Reuse Detection (CLTRD) has attracted the
attention of the research community because large digital repositories and efficient Machine …

Plagiarism detection is a challenging Natural Language Processing (NLP) task. Recently,
many systems have been able to detect the simple verbatim reproduction (copy and paste) …

The advancement of the web and information technology has contributed to the rapid growth
of digital libraries and automatic machine translation tools which easily translate texts from …

The chapter investigates the problem of cross-lingual plagiarism in academic works of
European universities. Although the possibly massive problem of incorrect text reuse, most …

Due to rapid growth of research articles in various languages, cross-lingual plagiarism
detection problem has received increasing interest in recent years. Cross-lingual plagiarism …