Survey: Analysis and Design of Plagiarism Software for Regional Language

Prashanth Kumar HM, Dr. Subramanya Bhat S

Abstract:

Keywords: Copying and pasting ideas or data across languages has created many challenges in copyrights. Though many methods have been developed to detect plagiarized content in English and English related language, however, detecting all language it is like left to right (Ex: English or other) and right to left (Ex: Urdu or other) language plagiarism is still a challenge. This study uses advanced Encrypted Text Matching (ETM) and Text Encryption Indexing (TEI) to build all language semantic space, from which it checks the contextual similarity in indexed data and internet data. Still there is no plagiarism detection software for language to providing single platform checker, as we studied in a major plagiarism detection software's in a world like 'Turnitin' providing 30+ language, 'Urkund' Providing 20+ languages and 'DrillBit' Supporting 20+ Languages majorly English related. Here we are working for a single platform to show all language text matching process by using UTF-8, 16 and other Unicode text matching technology.