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This chapter explores the intersection of linguisticlinguistic studies, computational linguisticslinguistics, and artificial intelligenceartificial intelligence (AI), focusing on XML-TEIXML-TEI (eXtensible Markup Language-Text Encoding InitiativeText Encoding Initiative) and its application to the dramatic genre. It examines how AI tools like ChatGPTChatGPT can support the transcription and analysis of literaryliterary texts, specifically in the context of the farce Domésticas y sin domesticar by Pilar Rodríguez de ContrerasPilar Rodríguez de Contreras. The study emphasizes the structural parallels between the dramatic genre and the XML-TEI transcription model, illustrating how this hierarchical organisation aids in understanding textual superstructures and facilitates the preservation and accessibilityaccessibility of theatrical works. The chapter delves into the theoretical foundations of Large Language Models (LLM) and AI, tracing their evolution from earlier approaches to language modelling and discourse analysis to their contemporary integration in computational text analysis. It showcases the practical application of GenAI in correcting and refining XML-TEI encoded texts, highlighting its role in supporting the revision of transcription errors and assisting in critical linguistic analysis. Through examples, the chapter illustrates how XML-TEI encoding aligns textual elements with the dramatic structure, enabling multimodal analysismultimodal analysis of theatrical texts. It underscores the value of integrating AI and XML-TEI tools in academicacademic research, advocating for their potential use in creating accessible, standardised digital archives. This approach opens new avenues for interdisciplinary studies and enhances the analytical capabilities of researchers in the digital humanities.

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From Formal Literary Language to Digital Literary Language : the Link Between XML-TEI , the Dramatic Genre, and ChatGPT

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  • 发表日期：

    2026年

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  • José Torres Álvarez

摘要

This chapter explores the intersection of linguisticlinguistic studies, computational linguisticslinguistics, and artificial intelligenceartificial intelligence (AI), focusing on XML-TEIXML-TEI (eXtensible Markup Language-Text Encoding InitiativeText Encoding Initiative) and its application to the dramatic genre. It examines how AI tools like ChatGPTChatGPT can support the transcription and analysis of literaryliterary texts, specifically in the context of the farce Domésticas y sin domesticar by Pilar Rodríguez de ContrerasPilar Rodríguez de Contreras. The study emphasizes the structural parallels between the dramatic genre and the XML-TEI transcription model, illustrating how this hierarchical organisation aids in understanding textual superstructures and facilitates the preservation and accessibilityaccessibility of theatrical works. The chapter delves into the theoretical foundations of Large Language Models (LLM) and AI, tracing their evolution from earlier approaches to language modelling and discourse analysis to their contemporary integration in computational text analysis. It showcases the practical application of GenAI in correcting and refining XML-TEI encoded texts, highlighting its role in supporting the revision of transcription errors and assisting in critical linguistic analysis. Through examples, the chapter illustrates how XML-TEI encoding aligns textual elements with the dramatic structure, enabling multimodal analysismultimodal analysis of theatrical texts. It underscores the value of integrating AI and XML-TEI tools in academicacademic research, advocating for their potential use in creating accessible, standardised digital archives. This approach opens new avenues for interdisciplinary studies and enhances the analytical capabilities of researchers in the digital humanities.