THE FUTURE OF COPY DETECTION TECHNIQUES

Abstract: Internet is one of the richest encyclopaedias in the world. Students can easily download various free documents and then plagiarize their content. This paper describes the current state of copy detection methods and proposes some new trends. New approaches, closer to nature language processing, can essentially improve identification of hardlydetectable cases of plagiarism, i.e. single-word changes and sentence structure changes. Synonyms and Latent Semantic Analysis are discussed in detail for better understanding of the semantics within documents