AI-Powered Corpus Translation Studies at Work
Exploring Early English Translations by Aphra Behn and her Contemporaries of Fontenelle's (1686) Entretiens sur la pluralité des mondes
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Beschreibung
This open access book introduces a pioneering methodology in corpus translation studies by integrating generative artificial intelligence to assist in text annotation, alignment, and interpretative analysis, with an illustrative application. It focuses on early (re)translations by Aphra Behn and her contemporaries of Fontenelle’s Entretiens sur la pluralité des mondes (1686), exploring literary strategies within their historical and socio-cultural contexts.
The approach combines human expertise with generative AI tools to identify linguistic and extralinguistic features, such as tone, rhetoric, and cultural references, aiming to improve annotation efficiency, scalability, and analytical depth.
The study presents an illustrative historical and literary exploration, examining lesser-known translations alongside Aphra Behn’s 1688 version. It highlights authorial and ideological nuances in early modern translation, supported by AI-assisted categorisation.
The book covers traditional corpus methods, AI’s role in translation studies, methodological design, historical context of the texts, application of AI analysis, ethical considerations, and future research directions.
This open access book introduces a pioneering methodology in corpus translation studies by integrating generative artificial intelligence to assist in text annotation, alignment, and interpretative analysis, with an illustrative application. It focuses on early (re)translations by Aphra Behn and her contemporaries of Fontenelle’s Entretiens sur la pluralité des mondes (1686), exploring literary strategies within their historical and socio-cultural contexts.
The approach combines human expertise with generative AI tools to identify linguistic and extralinguistic features, such as tone, rhetoric, and cultural references, aiming to improve annotation efficiency, scalability, and analytical depth.
The study presents an illustrative historical and literary exploration, examining lesser-known translations alongside Aphra Behn’s 1688 version. It highlights authorial and ideological nuances in early modern translation, supported by AI-assisted categorisation.
The book covers traditional corpus methods, AI’s role in translation studies, methodological design, historical context of the texts, application of AI analysis, ethical considerations, and future research directions.
This book is open access, which means that you have free and unlimited access Enhances the field of translation studies in literary digital stylistics using generative artificial intelligence Offers a transformative solution to methodological challenges on the emergence of Large Language Models Introduces a custom-designed software system that structures GenAI prompts
Autor*in
Anna Maria Cipriani
Themen in »AI-Powered Corpus Translation Studies at Work«
Open Access Corpus translation studies Digital Humanities Literary stylistics Large Language Models Generative AI