In this article, the authors have proposed a method to detect plagiarism in the Marathi language by using semantic analysis. Nowadays, plagiarism is a challenging task in educational and research fields. Currently, there are some tools available to detect the plagiarism on the basis of similarity of words. But there is no tool available to detect the plagiarism semantically. In this article, the authors have applied preprocessing to a database i.e. tokenization, removed stop words and punctuations, for the goal of calculating the frequency of words. Then searching the same word or synonyms of words in wordnet to detect the semantic plagiarism. It is useful for many researchers who are working in this domain.

In this article, the authors have proposed a method to detect plagiarism in the Marathi language by using semantic analysis. Nowadays, plagiarism is a challenging task in educational and research fields. Currently, there are some tools available to detect the plagiarism on the basis of similarity of words. But there is no tool available to detect the plagiarism semantically. In this article, the authors have applied preprocessing to a database i.e. tokenization, removed stop words and punctuations, for the goal of calculating the frequency of words. Then searching the same word or synonyms of words in wordnet to detect the semantic plagiarism. It is useful for many researchers who are working in this domain.

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The Text REtrieval Conferences (TRECs) are a series of workshops that encourage research in information retrieval from realistic applications by providing large test collections, uniform scoring procedures, and a forum for organizations interested in comparing results. This paper describes the overview of Text Retrieval conferences (TRECs) from 1992 (TREC-1) to 2014 (TREC-23). The goals the judging procedure of TREC are mentioned for understanding the importance & compounds involved in text retrieval in real time applications. A brief comparative report about the methods, number of tracks and the outcomes are presented in this paper so that researchers working or want to work under this domain get an up to date view regarding Text retrieval process and applications.