Sensing Textual Plagiarism

This Final Year Project (FYP) is about Sensing Textual Plagiarism. To realize this, an
application that is equipped with the capability of detecting plagiarism from occurring in a
textual document is to be developed. The main focus of this project is to perform a study on
how to detect plagiarism from a textual document. Word-for-word plagiarism is the most
obvious and serious form of plagiarism which can be can be categorized as a form of
direct stealing, without significant alteration and consent of another's work. Fact
findings are carried out in order to perform the study on plagiarism. This project will
incorporate the Smith-Waterman Algorithm which is a classical tool in the
identification and quantification of local similarities in biological sequences. As a
result, the significance of this project is the availability of the application to sense the
wide spread of plagiarism that often occur upon valuable documents, articles, and
journals.