Architectural Designing and Analysis of Natural Language Plagiarism Detection Mechanism

We proposed an Architectural model for detecting plagiarism in natural language text and presented the analysis of various detection processes followed for effective plagiarism detection. Other plagiarism detection mechanisms are based on parsing techniques where sentence and word chunking is performed to extract phrases which are searched on internet in comparison to that we performed sentence and work chunking but our method is more detailed and comprehensive and further bifurcated these two techniques on the basis of the rearrangement of the text or word pattern. We tried to put emphasis on principle behind performance of any search result and developed an efficient plagiarism detection mechanism on the basis of the unitization process which are tested for various input data and has shown considerable output. Our purposed Unitization processes are different from the already available. Challenges faced during the plagiarism detection are discussed with their purposed solutions. Results obtained after experiment reveals empirical study of the performance factor