  Academic plagiarism is a serious problem nowadays. Due to the existence of
inexhaustible sources of digital information, today it is easier to plagiarize
more than ever before. The good thing is that plagiarism detection techniques
have improved and are powerful enough to detect attempts of plagiarism in
education. We are now witnessing efficient plagiarism detection software in
action, such as Turnitin, iThenticate or SafeAssign. In the introduction we
explore software that is used within the Croatian academic community for
plagiarism detection in universities and/or in scientific journals. The
question is: is this enough? Current software has proven to be successful,
however the problem of identifying paraphrasing or obfuscation plagiarism
remains unresolved. In this paper we present a report of how semantic
similarity measures can be used in the plagiarism detection task.
