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  1. Computational authorship analysis of the homeric poems
    Autor*in: Pavlopoulos, John; Konstantinidou, Maria

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    ISSN: 2524-7840
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    Übergeordneter Titel:
    Enthalten in: International journal of digital humanities; [Cham] : Springer International Publishing, [2019?]-; (12.7.2022), 1-20; Online-Ressource
    Weitere Schlagworte: (lcsh)Computational linguistics.; (lcsh)Cultural studies.; Applied Statistics.; Cultural Studies.; Computational Linguistics.; Digital/New Media.; Natural Language Processing (NLP).
    Umfang: Online-Ressource, online resource.
  2. The .txtual condition, .txtual criticism and .txtual scholarly editing in Spanish philology
    Autor*in: Vauthier, Bénédicte

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    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
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    ISSN: 2524-7840
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    Enthalten in: International journal of digital humanities; [Cham] : Springer International Publishing, [2019?]-; 1, Heft 1 (5.3.2019), 29-46, 4.2019; Online-Ressource
    Weitere Schlagworte: (lcsh)Computational linguistics.; (lcsh)Cultural studies.; Applied Statistics.; Cultural Studies.; Computational Linguistics.; Digital/New Media.; Natural Language Processing (NLP).
    Umfang: Online-Ressource, online resource.
  3. Born digital preservation of e-lit: a live internet traversal of Sarah Smith’s King of Space
    Autor*in: Schiller, Nicholas; Grigar, Dene

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    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    ISSN: 2524-7840
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    Übergeordneter Titel:
    Enthalten in: International journal of digital humanities; [Cham] : Springer International Publishing, [2019?]-; 1, Heft 1 (11.3.2019), 47-57, 4.2019; Online-Ressource
    Weitere Schlagworte: (lcsh)Computational linguistics.; (lcsh)Cultural studies.; Applied Statistics.; Cultural Studies.; Computational Linguistics.; Digital/New Media.; Natural Language Processing (NLP).
    Umfang: Online-Ressource, online resource.
  4. Artificial imagination, imagine: new developments in digital scholarly editing
    Autor*in: Hulle, Dirk Van

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    ISSN: 2524-7840
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    Enthalten in: International journal of digital humanities; [Cham] : Springer International Publishing, [2019?]-; (25.4.2019), 1-4; Online-Ressource
    Weitere Schlagworte: (lcsh)Computational linguistics.; (lcsh)Cultural studies.; Applied Statistics.; Cultural Studies.; Computational Linguistics.; Digital/New Media.; Natural Language Processing (NLP).
    Umfang: Online-Ressource, online resource.
  5. Linguistic Resources for Natural Language Processing
    On the Necessity of Using Linguistic Methods to Develop NLP Software
    Beteiligt: Silberztein, Max (Herausgeber)
    Erschienen: 2024
    Verlag:  Springer Nature Switzerland, Imprint: Springer, Cham

    Zusammenfassung: Empirical — data-driven, neural network-based, probabilistic, and statistical — methods seem to be the modern trend. Recently, OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney chatbots have been garnering a lot of attention for... mehr

     

    Zusammenfassung: Empirical — data-driven, neural network-based, probabilistic, and statistical — methods seem to be the modern trend. Recently, OpenAI’s ChatGPT, Google’s Bard and Microsoft’s Sydney chatbots have been garnering a lot of attention for their detailed answers across many knowledge domains. In consequence, most AI researchers are no longer interested in trying to understand what common intelligence is or how intelligent agents construct scenarios to solve various problems. Instead, they now develop systems that extract solutions from massive databases used as cheat sheets. In the same manner, Natural Language Processing (NLP) software that uses training corpora associated with empirical methods are trendy, as most researchers in NLP today use large training corpora, always to the detriment of the development of formalized dictionaries and grammars. Not questioning the intrinsic value of many software applications based on empirical methods, this volume aims at rehabilitating the linguistic approach to NLP. In an introduction, the editor uncovers several limitations and flaws of using training corpora to develop NLP applications, even the simplest ones, such as automatic taggers. The first part of the volume is dedicated to showing how carefully handcrafted linguistic resources could be successfully used to enhance current NLP software applications. The second part presents two representative cases where data-driven approaches cannot be implemented simply because there is not enough data available for low-resource languages. The third part addresses the problem of how to treat multiword units in NLP software, which is arguably the weakest point of NLP applications today but has a simple and elegant linguistic solution. It is the editor's belief that readers interested in Natural Language Processing will appreciate the importance of this volume, both for its questioning of the training corpus-based approaches and for the intrinsic value of the linguistic formalization and the underlying methodology presented

     
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    Quelle: Verbundkataloge
    Beteiligt: Silberztein, Max (Herausgeber)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783031438110
    Weitere Identifier:
    Auflage/Ausgabe: 1st ed. 2024
    Weitere Schlagworte: (lcsh)Natural language processing (Computer science).; (lcsh)Computational linguistics.; (lcsh)Artificial intelligence.; (lcsh)Digital humanities.; Natural Language Processing (NLP).; Computational Linguistics.; Artificial Intelligence.; Digital Humanities.
    Umfang: Online-Ressource, XXII, 217 p. 118 illus., 101 illus. in color., online resource.
    Bemerkung(en):

    In honor of Peter -- Foreword. - Preface -- About this book. Part 1. Introduction -- 1. The Limitations of Corpus-based Methods in NLP -- Part 2 -- 2. Developing Linguistic-based NLP Software -- 3. Linguistic Resources for the Automatic Generation of Texts in Natural Language -- 4. Towards a More Efficient Arabic-French Translation -- 5. Linguistic Resources and Methods and Algorithms for Belarusian Natural Language Processing -- Part 3 -- Linguistic Resources for Low-resource Languages -- 6. A New Set of Linguistic Resources for Ukrainian -- 7. Formalization of the Quechua Morphology -- 8. The Challenging Task of Translating the Language of Tango -- 9. A Polylectal Linguistic Resource for Rromani -- Part 4. Processing Multiword Units: The Linguistic Approach -- 10. Using Linguistic Criteria to Define Multiword Units -- 11. A Linguistic Approach to English Phrasal Verbs -- 12. Analysis of Indonesian Multiword Expressions: Linguistic vs Data-driven Approach
  6. Centaur Art
    The Future of Art in the Age of Generative AI
    Autor*in: Pareschi, Remo
    Erschienen: 2024
    Verlag:  Springer Nature Switzerland, Imprint: Springer, Cham

    Zusammenfassung: Generative AI is transforming the landscape of numerous industries, and the creative fields are no exception. As the figurative arts become a focal point in the ongoing debate, this book explores hybrid and centauric intelligence—an... mehr

     

    Zusammenfassung: Generative AI is transforming the landscape of numerous industries, and the creative fields are no exception. As the figurative arts become a focal point in the ongoing debate, this book explores hybrid and centauric intelligence—an integration of human and artificial intelligence. Through parallel and complementary directions, it investigates the general concept of this hybrid intelligence and its specific application in the artistic realm, highlighting the unprecedented creativity and innovation that can emerge from this synergy. Additionally, it addresses the economic tensions and legal disputes, particularly around copyright, that arise from the impact of new technologies in the creative sector. The result is a comprehensive overview of the hybridization paradigm by analyzing the operational and creative methods of artists and creators who have embraced generative AI. The author examines the implications of the recent developments, offering readers an understanding of how AI can support human creativity rather than replace it. Thus, a compelling vision of the future unfolds, one in which artists and AI collaborate, pushing the boundaries of what is artistically achievable. Whether you are a seasoned professional looking to incorporate AI into your creative process or a curious reader intrigued by the convergence of art and technology, the book will provide valuable insights and inspire you to explore the fascinating intersection of human creativity and artificial intelligence and the future it heralds for the art world

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783031690631
    Weitere Identifier:
    Auflage/Ausgabe: 1st ed. 2024
    Weitere Schlagworte: (lcsh)Artificial intelligence.; (lcsh)Digital humanities.; (lcsh)Natural language processing (Computer science).; (lcsh)Image processing.; Artificial Intelligence.; Intelligence Augmentation.; Digital Humanities.; Natural Language Processing (NLP).; Image Processing.
    Umfang: Online-Ressource, XVI, 88 p. 38 illus., 33 illus. in color., online resource.
    Bemerkung(en):

    Preface -- Acknowledgements -- 1. The Rise of Centauric Systems -- 2. Art and Artificial Intelligence between Past, Present and Future -- 3. AI for Games and Art -- 4. The Art of Turning Prompts into Art -- 5. Art as an Open System -- 6. From ‘On-life’ to ‘On-art’ and ‘Beyond-life’
  7. Reproducing disciplinary and literary prestige: “The index of major literary prizes in the US”
    Autor*in: Hankins, Gabriel

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    Übergeordneter Titel:
    Enthalten in: International journal of digital humanities; [Cham] : Springer International Publishing, [2019?]-; (19.12.2023), 1-15; Online-Ressource
    Weitere Schlagworte: (lcsh)Statistics .; (lcsh)Culture—Study and teaching.; (lcsh)Computational linguistics.; (lcsh)Digital media.; (lcsh)Natural language processing (Computer science).; Applied Statistics.; Cultural Studies.; Computational Linguistics.; Digital and New Media.; Natural Language Processing (NLP).
    Umfang: 1 Online-Ressource.
  8. Vector Semantics
    Autor*in: Kornai, András.
    Erschienen: 2023.
    Verlag:  Springer Nature Singapore :, Singapore : ; Imprint: Springer,

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the... mehr

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    Standort:
    Humboldt-Universität zu Berlin, Universitätsbibliothek, Jacob-und-Wilhelm-Grimm-Zentrum
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have ‘linguistics’ in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings. .

     
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    Medientyp: Ebook; Datenträger
    Format: Online
    ISBN: 9789811956072
    Weitere Identifier:
    Übergeordneter Titel: Springer Nature eBook
    Auflage/Ausgabe: 1st ed. 2023.
    Schriftenreihe: Cognitive Technologies,
    Schlagworte: Natural language processing (Computer science).; Computational linguistics.; Artificial intelligence.; Machine learning.; Expert systems (Computer science).; Digital humanities.; Natural Language Processing (NLP).; Computational Linguistics.; Artificial Intelligence.; Machine Learning.; Knowledge Based Systems.; Digital Humanities.
    Umfang: XVI, 273 p., online resource.
    Bemerkung(en):

    Chapter 1.Foundations of non-compositionality -- Chapter 2. From morphology to syntax -- Chapter 3.Time and space -- Chapter 4. Negation -- Chapter 5.Valuations and learnability -- Chapter 6.Modality -- Chapter 7.Adjectives, gradience, implicature -- Chapter 8.Trainability and real-world knowledge -- Chapter 9. Applications.