An Efficient Methodology for the Cross-Comparison of Text Documents

Autor: Chien Chou, Shu-Kai Yang
Rok vydání: 2020
Předmět:
Zdroj: ICS
DOI: 10.1109/ics51289.2020.00029
Popis: Cross comparison of documents is important to school assignments, but it is rarely implemented because of the heavy cost of text-similarity evaluation algorithms. The paper presents an efficient algorithm based on a hybrid of LCS and hashing, and extends the framework of cross comparison that visualizes the suspected plagiarism within massive submissions.
Databáze: OpenAIRE