Can I use AI to check for repeated sentences in a thesis?

Yes, AI tools can effectively detect verbatim sentence repetition within a thesis. This constitutes a core capability of text analysis algorithms. AI utilizes sophisticated Natural Language Processing (NLP) techniques to identify identical or near-identical sequences of words across extensive documents. Key considerations include the tool's scope, which often includes direct repetition but may miss subtle paraphrases or variations conveying the same meaning semantically. Precision can be high for exact matches, yet contextual awareness remains limited compared to human reviewers. This application is widely applicable across most academic disciplines. Crucially, while AI flags potential repetition efficiently, confirmation and judgment regarding redundancy and acceptability require human oversight to maintain academic integrity and narrative flow. AI sentence repetition checkers are typically implemented within dedicated plagiarism detection software or specialized editing tools. Common steps involve uploading the document, executing the repetition analysis, and reviewing highlighted duplicate sentences flagged by the system. This functionality proves particularly valuable in academic writing for ensuring originality in sections like literature reviews or methodology descriptions. Its primary benefit lies in automating tedious text comparison tasks, saving researchers significant time and effort during the proofreading phase while highlighting potential instances of unintended redundancy.