Copyright Protection for Translated Works: A Blockchain and NLP-Based Verification Framework

As online literature surges globally amidst internet proliferation, copyright protection for translated works has emerged as a critical challenge. Traditional copyright management suffer from inefficiencies, high costs, and evidentiary hurdles during cross-border copyrights protection. To bridge these gaps, this paper proposes a copyright protection framework for translated novels, integrating blockchain of decentralized immutability with natural language processing, Interplanetary File System, and smart contracts to establish a transparent and efficient mechanism for translation copyright protection. Through literature analysis and theoretical modeling, this paper designs a decentralized copyright management framework where blockchain records translated work hashes, translator-related information, and other content to ensure data immutability, NLP algorithms rapidly compute textual similarity metrics to enhance plagiarism detection efficiency, IPFS stores translated content for distributed access, and smart contracts automate reward and penalty mechanisms for translator conduct to minimize human intervention. Research results indicate that this framework theoretically reduces time and costs in copyrights protection, intercepts infringing works, and penalizes infringing translators. This paper provides a feasible solution for cross-border copyright protection of digital content, promoting standardized overseas dissemination of online literature and serving as a reference for other digital copyright management schemes.