This book explores the ever-evolving landscape of automated audiovisual translation (AVT), charting the challenges and opportunities around dubbing and subtitling in the age of generative artificial intelligence (GenAI).The volume first briefly lays out foundational characteristics of human dubbing and subtitling before moving into a discussion of the hallmarks of artificial intelligence (AI)-driven dubbing and subtitling. Giampieri and Leonardi discuss the most recent advancements in automated AVT to set the stage for examining these dynamics at work in case studies from translator training to legal and medical domains. Chapters look at such examples as AI-powered voice-over and subtitling in an Italian film extract, cross-comparison of the dubbing of a contract reading across different automated voice-over platforms, and a cross-comparison of automatic captions and fansubbed titles in a medical lecture. While such examples focus on particular domains, registers, and contacts, they elucidate fresh insights into the analysis, developments, and challenges around automated AVT across different contexts, paving the way for future research amidst further developments around GenAI's role in AVT more broadly.This book will be of interest to students and scholars in translation studies, as well as key stakeholders in translator training and active translators in specialized domains.

This book explores the ever-evolving landscape of automated audiovisual translation (AVT), charting the challenges and opportunities around dubbing and subtitling in the age of generative artificial intelligence (GenAI).The volume first briefly lays out foundational characteristics of human dubbing and subtitling before moving into a discussion of the hallmarks of artificial intelligence (AI)-driven dubbing and subtitling. Giampieri and Leonardi discuss the most recent advancements in automated AVT to set the stage for examining these dynamics at work in case studies from translator training to legal and medical domains. Chapters look at such examples as AI-powered voice-over and subtitling in an Italian film extract, cross-comparison of the dubbing of a contract reading across different automated voice-over platforms, and a cross-comparison of automatic captions and fansubbed titles in a medical lecture. While such examples focus on particular domains, registers, and contacts, they elucidate fresh insights into the analysis, developments, and challenges around automated AVT across different contexts, paving the way for future research amidst further developments around GenAI's role in AVT more broadly.This book will be of interest to students and scholars in translation studies, as well as key stakeholders in translator training and active translators in specialized domains.

This book explores the ever-evolving landscape of automated audiovisual translation (AVT), charting the challenges and opportunities around dubbing and subtitling in the age of generative artificial intelligence (GenAI).The volume first briefly lays out foundational characteristics of human dubbing and subtitling before moving into a discussion of the hallmarks of artificial intelligence (AI)-driven dubbing and subtitling. Giampieri and Leonardi discuss the most recent advancements in automated AVT to set the stage for examining these dynamics at work in case studies from translator training to legal and medical domains. Chapters look at such examples as AI-powered voice-over and subtitling in an Italian film extract, cross-comparison of the dubbing of a contract reading across different automated voice-over platforms, and a cross-comparison of automatic captions and fansubbed titles in a medical lecture. While such examples focus on particular domains, registers, and contacts, they elucidate fresh insights into the analysis, developments, and challenges around automated AVT across different contexts, paving the way for future research amidst further developments around GenAI’s role in AVT more broadly.This book will be of interest to students and scholars in translation studies, as well as key stakeholders in translator training and active translators in specialized domains.

This book explores the topic of ideological manipulation in the translation of children’s literature by addressing several crucial questions, including how target language norms and conventions affect the quality of a translation, how translations are selected on the basis of what is culturally accepted, who is involved in the selection of what should be translated for children in the target culture, and how this process takes place. The author presents different ways of looking at the translation of children’s books, focusing particularly on the practices of intralingual and interlingual translations as a form of rewriting across a selection of European languages. This book will be of interest to Translation Studies and children's literature scholars, as well as those with a wider interest in the impact of ideology on culture.

This book offers a comprehensive analysis of the evolution of legal language, tracing its development from historical formulations to contemporary adaptations, including the emerging role of artificial intelligence in legal translation and communication. Through a diachronic study of three specialised legal corpora – the Corpus of Historical English Law Reports 1535–1999 (CHELAR), the British Law Report Corpus (BLaRC), and the Bononia Legal Corpus (BoLC) – this monograph identifies key trends in legal English, revealing a gradual shift towards simplification, modernisation, and greater inclusivity, most notably reflected in the reduction of gender-biased language. Building on this historical foundation, the study situates the contemporary use of artificial intelligence within the broader trajectory of legal language reform, examining how emerging technologies continue—and in some cases accelerate—the shift toward simplification and accessibility, particularly through the automated translation and processing of legal texts. It critically assesses both the potential of AI to enhance communicative clarity and its limitations in navigating the complexity and conservatism that characterise legal discourse. By integrating historical, linguistic, and technological perspectives, this work provides valuable insights into the trajectory of legal discourse, the methodological contribution of corpus-based analysis, and the evolving role of AI in fostering inclusivity and clarity in legal communication. It will be of particular interest to scholars and practitioners in the fields of law, legal linguistics, translation studies, historical linguistics, and corpus linguistics.

This book offers a comprehensive analysis of the evolution of legal language, tracing its development from historical formulations to contemporary adaptations, including the emerging role of artificial intelligence in legal translation and communication. Through a diachronic study of three specialised legal corpora – the Corpus of Historical English Law Reports 1535–1999 (CHELAR), the British Law Report Corpus (BLaRC), and the Bononia Legal Corpus (BoLC) – this monograph identifies key trends in legal English, revealing a gradual shift towards simplification, modernisation, and greater inclusivity, most notably reflected in the reduction of gender-biased language. Building on this historical foundation, the study situates the contemporary use of artificial intelligence within the broader trajectory of legal language reform, examining how emerging technologies continue—and in some cases accelerate—the shift toward simplification and accessibility, particularly through the automated translation and processing of legal texts. It critically assesses both the potential of AI to enhance communicative clarity and its limitations in navigating the complexity and conservatism that characterise legal discourse. By integrating historical, linguistic, and technological perspectives, this work provides valuable insights into the trajectory of legal discourse, the methodological contribution of corpus-based analysis, and the evolving role of AI in fostering inclusivity and clarity in legal communication. It will be of particular interest to scholars and practitioners in the fields of law, legal linguistics, translation studies, historical linguistics, and corpus linguistics.

Translation can help improve foreign language teaching and learning – this study shows how. In an increasingly globalised world and in an increasingly multilingual Europe, translation plays an important role. Significant signs of a new revival of translation in language teaching have become visible, as shown by recent literature on applied linguistics. This book contributes to this movement, embracing both a theoretical and an empirical purpose by integrating viewpoints from Applied Linguistics, Translation Studies and Second Language Acquisition. In an attempt to show how the use of translation in foreign language classes can help enhance and further improve reading, writing, speaking and listening skills, this work calls for a re-evaluation and a rehabilitation of the translation activities in the foreign language classes.

This book explores the ever-evolving landscape of automated audiovisual translation (AVT), charting the challenges and opportunities around dubbing and subtitling in the age of generative artificial intelligence (GenAI).The volume first briefly lays out foundational characteristics of human dubbing and subtitling before moving into a discussion of the hallmarks of artificial intelligence (AI)-driven dubbing and subtitling. Giampieri and Leonardi discuss the most recent advancements in automated AVT to set the stage for examining these dynamics at work in case studies from translator training to legal and medical domains. Chapters look at such examples as AI-powered voice-over and subtitling in an Italian film extract, cross-comparison of the dubbing of a contract reading across different automated voice-over platforms, and a cross-comparison of automatic captions and fansubbed titles in a medical lecture. While such examples focus on particular domains, registers, and contacts, they elucidate fresh insights into the analysis, developments, and challenges around automated AVT across different contexts, paving the way for future research amidst further developments around GenAI's role in AVT more broadly.This book will be of interest to students and scholars in translation studies, as well as key stakeholders in translator training and active translators in specialized domains.

This book explores the ever-evolving landscape of automated audiovisual translation (AVT), charting the challenges and opportunities around dubbing and subtitling in the age of generative artificial intelligence (GenAI).The volume first briefly lays out foundational characteristics of human dubbing and subtitling before moving into a discussion of the hallmarks of artificial intelligence (AI)-driven dubbing and subtitling. Giampieri and Leonardi discuss the most recent advancements in automated AVT to set the stage for examining these dynamics at work in case studies from translator training to legal and medical domains. Chapters look at such examples as AI-powered voice-over and subtitling in an Italian film extract, cross-comparison of the dubbing of a contract reading across different automated voice-over platforms, and a cross-comparison of automatic captions and fansubbed titles in a medical lecture. While such examples focus on particular domains, registers, and contacts, they elucidate fresh insights into the analysis, developments, and challenges around automated AVT across different contexts, paving the way for future research amidst further developments around GenAI's role in AVT more broadly.This book will be of interest to students and scholars in translation studies, as well as key stakeholders in translator training and active translators in specialized domains.

This book explores the ever-evolving landscape of automated audiovisual translation (AVT), charting the challenges and opportunities around dubbing and subtitling in the age of generative artificial intelligence (GenAI).The volume first briefly lays out foundational characteristics of human dubbing and subtitling before moving into a discussion of the hallmarks of artificial intelligence (AI)-driven dubbing and subtitling. Giampieri and Leonardi discuss the most recent advancements in automated AVT to set the stage for examining these dynamics at work in case studies from translator training to legal and medical domains. Chapters look at such examples as AI-powered voice-over and subtitling in an Italian film extract, cross-comparison of the dubbing of a contract reading across different automated voice-over platforms, and a cross-comparison of automatic captions and fansubbed titles in a medical lecture. While such examples focus on particular domains, registers, and contacts, they elucidate fresh insights into the analysis, developments, and challenges around automated AVT across different contexts, paving the way for future research amidst further developments around GenAI’s role in AVT more broadly.This book will be of interest to students and scholars in translation studies, as well as key stakeholders in translator training and active translators in specialized domains.

This book explores the topic of ideological manipulation in the translation of children’s literature by addressing several crucial questions, including how target language norms and conventions affect the quality of a translation, how translations are selected on the basis of what is culturally accepted, who is involved in the selection of what should be translated for children in the target culture, and how this process takes place. The author presents different ways of looking at the translation of children’s books, focusing particularly on the practices of intralingual and interlingual translations as a form of rewriting across a selection of European languages. This book will be of interest to Translation Studies and children's literature scholars, as well as those with a wider interest in the impact of ideology on culture.

This book offers a comprehensive analysis of the evolution of legal language, tracing its development from historical formulations to contemporary adaptations, including the emerging role of artificial intelligence in legal translation and communication. Through a diachronic study of three specialised legal corpora – the Corpus of Historical English Law Reports 1535–1999 (CHELAR), the British Law Report Corpus (BLaRC), and the Bononia Legal Corpus (BoLC) – this monograph identifies key trends in legal English, revealing a gradual shift towards simplification, modernisation, and greater inclusivity, most notably reflected in the reduction of gender-biased language. Building on this historical foundation, the study situates the contemporary use of artificial intelligence within the broader trajectory of legal language reform, examining how emerging technologies continue—and in some cases accelerate—the shift toward simplification and accessibility, particularly through the automated translation and processing of legal texts. It critically assesses both the potential of AI to enhance communicative clarity and its limitations in navigating the complexity and conservatism that characterise legal discourse. By integrating historical, linguistic, and technological perspectives, this work provides valuable insights into the trajectory of legal discourse, the methodological contribution of corpus-based analysis, and the evolving role of AI in fostering inclusivity and clarity in legal communication. It will be of particular interest to scholars and practitioners in the fields of law, legal linguistics, translation studies, historical linguistics, and corpus linguistics.

This book offers a comprehensive analysis of the evolution of legal language, tracing its development from historical formulations to contemporary adaptations, including the emerging role of artificial intelligence in legal translation and communication. Through a diachronic study of three specialised legal corpora – the Corpus of Historical English Law Reports 1535–1999 (CHELAR), the British Law Report Corpus (BLaRC), and the Bononia Legal Corpus (BoLC) – this monograph identifies key trends in legal English, revealing a gradual shift towards simplification, modernisation, and greater inclusivity, most notably reflected in the reduction of gender-biased language. Building on this historical foundation, the study situates the contemporary use of artificial intelligence within the broader trajectory of legal language reform, examining how emerging technologies continue—and in some cases accelerate—the shift toward simplification and accessibility, particularly through the automated translation and processing of legal texts. It critically assesses both the potential of AI to enhance communicative clarity and its limitations in navigating the complexity and conservatism that characterise legal discourse. By integrating historical, linguistic, and technological perspectives, this work provides valuable insights into the trajectory of legal discourse, the methodological contribution of corpus-based analysis, and the evolving role of AI in fostering inclusivity and clarity in legal communication. It will be of particular interest to scholars and practitioners in the fields of law, legal linguistics, translation studies, historical linguistics, and corpus linguistics.

Translation can help improve foreign language teaching and learning – this study shows how. In an increasingly globalised world and in an increasingly multilingual Europe, translation plays an important role. Significant signs of a new revival of translation in language teaching have become visible, as shown by recent literature on applied linguistics. This book contributes to this movement, embracing both a theoretical and an empirical purpose by integrating viewpoints from Applied Linguistics, Translation Studies and Second Language Acquisition. In an attempt to show how the use of translation in foreign language classes can help enhance and further improve reading, writing, speaking and listening skills, this work calls for a re-evaluation and a rehabilitation of the translation activities in the foreign language classes.