Research is needed to understand the differences between human and machine generated text. Prior research has focused on identification of identification of deceptive text, such as phishing attempts or bot-generated tweets. There is, however, less work on identifying other forms of generated text such as automatic translations, or text that has been recorded by ‘essay assistant’ software. This project would focus on characterising the differences between human generated and machine generated text, for example by comparing originally authored material with automatically rewritten versions.
Academic qualifications
A first-class honours degree, or a distinction at master level, or equivalent achievements in Computer Science, Data Science, Linguistics.
English language requirement
If your first language is not English, comply with the University requirements for research degree programmes in terms of English language.
Application process
Prospective applicants are encouraged to contact the supervisor, Dr. Peter J Barclay (P.Barclay@napier.ac.uk) to discuss the content of the project and the fit with their qualifications and skills before preparing an application.
The application must include:
Research project outline of 2 pages (list of references excluded). The outline may provide details about
The outline must be created solely by the applicant. Supervisors can only offer general discussions about the project idea without providing any additional support.
Applications can be submitted here.
Download a copy of the project details here.
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