9783866288478 - The Future of German Studies: 19 (19 resultados)

Paperback or Softback. Condición: New. The Future of German Studies. Book.

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Taschenbuch. Condición: Neu. The Future of German Studies | Tina-Karen Pusse (u. a.) | Taschenbuch | Germanistik in Ireland | Englisch | 2025 | Hartung-Gorre | EAN 9783866288478 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Paperback. Condición: new. Paperback. Across Europe and North America, language and literature departments are contracting at a pace that would have been unthinkable two decades ago. Courses are frozen, programmes merged or dissolved, and the study of specific languages, German not least among them, is too often dismissed as a dispensable ornament of the past. Beneath this development lies a familiar, and deeply flawed, assumption: that in an age of translation driven by large language models and frictionless global communication, the value of linguistic competence is decreasing. If we can converse through our devices, why still learn to speak and think in another tongue? As we know, language learning is about much more than communication. It is about metacognition, about understanding how thought takes shape in and through language. But even more fundamentally, it forces us to ask what communication itself really means. Generative AI /Large language models may allow us to make ourselves understood at a basic level, but true communication is not about transmission alone. At its core lies understanding others - their assumptions, histories, and emotional registers - and developing the sensibility to perceive meaning within a specific cultural and linguistic horizon. Machines can translate words, but they cannot translate worlds. The work of learning a language remains, at its core, an ethical practice: an act of attentiveness to otherness. In addition, the future of Large Language Models relies on constant new high quality human input and human feedback loops evaluating, for example, the quality of translations. Without this, it has been shown, the quality of their outputs deteriorates quickly. There is also the matter of resilience. The assumption that so-called Artificial Intelligence will always be available, affordable, and free from ideological inflections (attributes already debatable in many of its current incarnations) is a form of collective wishful thinking. What happens when access to such too This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 128 pp. Englisch.

Paperback. Condición: new. Paperback. Across Europe and North America, language and literature departments are contracting at a pace that would have been unthinkable two decades ago. Courses are frozen, programmes merged or dissolved, and the study of specific languages, German not least among them, is too often dismissed as a dispensable ornament of the past. Beneath this development lies a familiar, and deeply flawed, assumption: that in an age of translation driven by large language models and frictionless global communication, the value of linguistic competence is decreasing. If we can converse through our devices, why still learn to speak and think in another tongue? As we know, language learning is about much more than communication. It is about metacognition, about understanding how thought takes shape in and through language. But even more fundamentally, it forces us to ask what communication itself really means. Generative AI /Large language models may allow us to make ourselves understood at a basic level, but true communication is not about transmission alone. At its core lies understanding others - their assumptions, histories, and emotional registers - and developing the sensibility to perceive meaning within a specific cultural and linguistic horizon. Machines can translate words, but they cannot translate worlds. The work of learning a language remains, at its core, an ethical practice: an act of attentiveness to otherness. In addition, the future of Large Language Models relies on constant new high quality human input and human feedback loops evaluating, for example, the quality of translations. Without this, it has been shown, the quality of their outputs deteriorates quickly. There is also the matter of resilience. The assumption that so-called Artificial Intelligence will always be available, affordable, and free from ideological inflections (attributes already debatable in many of its current incarnations) is a form of collective wishful thinking. What happens when access to such too This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condición: new. Paperback. Across Europe and North America, language and literature departments are contracting at a pace that would have been unthinkable two decades ago. Courses are frozen, programmes merged or dissolved, and the study of specific languages, German not least among them, is too often dismissed as a dispensable ornament of the past. Beneath this development lies a familiar, and deeply flawed, assumption: that in an age of translation driven by large language models and frictionless global communication, the value of linguistic competence is decreasing. If we can converse through our devices, why still learn to speak and think in another tongue? As we know, language learning is about much more than communication. It is about metacognition, about understanding how thought takes shape in and through language. But even more fundamentally, it forces us to ask what communication itself really means. Generative AI /Large language models may allow us to make ourselves understood at a basic level, but true communication is not about transmission alone. At its core lies understanding others - their assumptions, histories, and emotional registers - and developing the sensibility to perceive meaning within a specific cultural and linguistic horizon. Machines can translate words, but they cannot translate worlds. The work of learning a language remains, at its core, an ethical practice: an act of attentiveness to otherness. In addition, the future of Large Language Models relies on constant new high quality human input and human feedback loops evaluating, for example, the quality of translations. Without this, it has been shown, the quality of their outputs deteriorates quickly. There is also the matter of resilience. The assumption that so-called Artificial Intelligence will always be available, affordable, and free from ideological inflections (attributes already debatable in many of its current incarnations) is a form of collective wishful thinking. What happens when access to such too This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Across Europe and North America, language and literature departments are contracting at a pace that would have been unthinkable two decades ago. Courses are frozen, programmes merged or dissolved, and the study of specific languages, German not least among them, is too often dismissed as a dispensable ornament of the past. Beneath this development lies a familiar, and deeply flawed, assumption: that in an age of translation driven by large language models and frictionless global communication, the value of linguistic competence is decreasing. If we can converse through our devices, why still learn to speak and think in another tongue As we know, language learning is about much more than communication. It is about metacognition, about understanding how thought takes shape in and through language. But even more fundamentally, it forces us to ask what communication itself really means. Generative AI /Large language models may allow us to make ourselves understood at a basic level, but true communication is not about transmission alone. At its core lies understanding others - their assumptions, histories, and emotional registers - and developing the sensibility to perceive meaning within a specific cultural and linguistic horizon. Machines can translate words, but they cannot translate worlds. The work of learning a language remains, at its core, an ethical practice: an act of attentiveness to otherness. In addition, the future of Large Language Models relies on constant new high quality human input and human feedback loops evaluating, for example, the quality of translations. Without this, it has been shown, the quality of their outputs deteriorates quickly.There is also the matter of resilience. The assumption that so-called Artificial Intelligence will always be available, affordable, and free from ideological inflections (attributes already debatable in many of its current incarnations) is a form of collective wishful thinking. What happens when access to such tools is increasingly monetized or politically restricted What happens in times of war, electricity outages, censorship, or digital collapse Linguistic self-sufficiency, our ability to read, think, and communicate across cultures without mediation, may soon be more than a scholarly virtue. It may be a civic necessity.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch.

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