(Automatic) text simplification of subtitles: Research Questions: Is it possible to make functioning Easy Language subtitles? Can the machine also simplify the subtitles to a certain extent? Will the target group prefer the human or the machine translation?

Diplôme Master (Automatic) text simplification of subtitles: Research Questions: Is it possible to make functioning Easy Language subtitles? Can the machine also simplify the subtitles to a certain extent? Will the target group prefer the human or the machine translation? eng 2024 author Arnold Melanie 939941 director Bouillon Pierrette 0000-0002-8854-6360 26962 Département de traitement informatique multilingue (TINFM) This thesis researches the impact of subtitle simplification on comprehension and audience satisfaction across two different target groups of Easy Language. It compares three subtitle simplification approaches: Manual simplification, limited simplification with the Passage system, and ChatGPT-based simplifications. It assesses the feasibility of Easy Language for subtitles and the levels of comprehension by the language group. The study begins with an in-depth analysis of Easy Language in German and establishes customized guidelines for future simplification efforts. Utilizing the Passage project's curated corpus, three text extracts are simplified using manual methods, the Passage tool, and ChatGPT. These simplified versions were then evaluated by both target audiences and industry experts. This thesis found that adapting subtitles into Easy Language is feasible and particularly effective for individuals with Alzheimer’s. Manual simplification proved to be the most efficient method, however ChatGPT was also well suited for the simplification in most cases. All the methods require finetuning to address specific audience needs. Easy Language Text simplification Automatic Text Simplification ChatGPT Passage system Manual Simplification Controlled Language Dewey 418.02 Maîtrise universitaire en traduction et technologies 111 Département de traduction 91 false d02866ab-7ede-44df-b8df-30cd52299097 Master thesis Public Master_Thesis_Arnold_Melanie.pdf 4569352 application/pdf 39c98fe8cc94290d4cccc1616bd185f6351cc4bbbf6eac7e497658955af731a2 openAccess Faculté de traduction et d'interprétation / Département de traduction

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(Automatic) text simplification of subtitles: Research Questions: Is it possible to make functioning Easy Language subtitles? Can the machine also simplify the subtitles to a certain extent? Will the target group prefer the human or the machine translation?				2024	63	12

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Arnold, Melanie