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  1. Computational linguistics and intelligent text processing
    Part 1
    Beteiligt: Gelbukh, Alexander (HerausgeberIn)
    Erschienen: [2023]
    Verlag:  Springer, Cham

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RN 2835(13396)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Fernleihe:
    keine Fernleihe

     

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining

     
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    Quelle: Verbundkataloge
    Beteiligt: Gelbukh, Alexander (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031237928
    Übergeordneter Titel: Computational linguistics and intelligent text processing - Alle Bände anzeigen
    Körperschaften/Kongresse: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Schriftenreihe: Lecture notes in computer science ; 13396
    Schlagworte: Angewandte Informatik; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; COMPUTERS / Information Technology; COMPUTERS / Information Theory; Coding theory & cryptology; Computational linguistics; Computerlinguistik und Korpuslinguistik; Databases; Datenbanken; Information retrieval; Informationstheorie; Kodierungstheorie und Verschlüsselung (Kryptologie); LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: xviii, 431 Seiten, Illustrationen
    Bemerkung(en):

    Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.
  2. Computational linguistics and intelligent text processing
    Part 2
    Beteiligt: Gelbukh, Alexander (HerausgeberIn)
    Erschienen: [2023]
    Verlag:  Springer, Cham

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RN 2835(13397)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Fernleihe:
    keine Fernleihe

     

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining

     
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    Cover (lizenzpflichtig)
    Quelle: Verbundkataloge
    Beteiligt: Gelbukh, Alexander (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031238031
    Übergeordneter Titel: Computational linguistics and intelligent text processing - Alle Bände anzeigen
    Körperschaften/Kongresse: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Schriftenreihe: Lecture notes in computer science ; 133397
    Schlagworte: COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; Computational linguistics; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Databases; Datenbanken; Image processing; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Society & social sciences
    Umfang: xviii, 457 Seiten
    Bemerkung(en):

    Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.
  3. Quellcodekritik
    zur Philologie von Algorithmen
    Beteiligt: Bajohr, Hannes (HerausgeberIn); Krajewski, Markus (HerausgeberIn)
    Erschienen: 2024
    Verlag:  August Verlag, Berlin

    Algorithmen bestimmen unsere Lage. Vom Google-PageRank-Algorithmus bis zur Kreditvergabe greift ihre Logik auf Schritt und Tritt in unser Leben ein. Einige von ihnen arbeiten undurchsichtig und schirmen ihr Innenleben vor neugierigen Blicken ab.... mehr

    Standort:
    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
    Signatur:
    A 2024/1317
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Universitätsbibliothek Kiel, Zentralbibliothek
    Signatur:
    Dg 641
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Deutsches Literaturarchiv Marbach, Bibliothek
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    UB Weimar
    Signatur:
    Br 3081/111
    Fernleihe:
    keine Fernleihe

     

    Algorithmen bestimmen unsere Lage. Vom Google-PageRank-Algorithmus bis zur Kreditvergabe greift ihre Logik auf Schritt und Tritt in unser Leben ein. Einige von ihnen arbeiten undurchsichtig und schirmen ihr Innenleben vor neugierigen Blicken ab. Andere bemühen sich um Transparenz und folgen einer Ethik des Open Source. In beiden Fällen ist jedoch ein nicht unerheblicher Aufwand erforderlich, um die Quellcodes zu verstehen, in denen Algorithmen geschrieben sind. Codes sind besondere Texte: Sie setzen Befehle um, wenn sie ausgeführt werden, und reduzieren Expression auf Direktiven. Sie sind somit mehr und weniger als gewöhnliche Sprache. Zugleich führen sie mit der Möglichkeit zur Kommentierung stets eine Metaebene mit, auf der man sich über ihre Funktionsweise verständigen kann. Daher erfordern sie auch eine besondere Philologie. Die Quellcodekritik, die dieser Band vorstellt, ist der Versuch, Algorithmen zu erschließen, zu interpretieren und sie gegenwärtigen wie zukünftigen Leser_innen zugänglich zu machen. Sie mobilisiert einen Zugriff, der in der Informatik ebenso zu Hause ist wie in der Textkritik. Zugleich schlägt sie Strategien vor, auch mit jenen neuen Sprachmodellen umzugehen, in denen Codes nur am Anfang stehen, während ihr statistisches Inneres undurchdringlich bleibt. Die Beiträge liefern so Beispiele und Methoden, wie klassischer Code und künstliche Intelligenz lesbar zu machen sind

     
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  4. Translation tools and technologies
    Autor*in: Rothwell, Andrew; Moorkens, Joss; Fernández-Parra, María; Drugan, Joanna; Austermühl, Frank
    Erschienen: 2023
    Verlag:  Routledge, London

    "To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously-illustrated textbook offers a straightforward... mehr

    Standort:
    Universitätsbibliothek Freiburg
    Signatur:
    GE 2023/2810
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Universitätsbibliothek Leipzig
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Universitätsbibliothek Mannheim
    Signatur:
    500 ES 960 R848
    Fernleihe:
    keine Fernleihe

     

    "To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously-illustrated textbook offers a straightforward and practical guide to translation tools and technologies. Demystifying the workings of Computer-Assisted Translation (CAT) and Machine Translation (MT) technologies, Translation Tools and Technologies offers clear step-by-step guidance on how to choose suitable tools (free or commercial) for the task in hand and quickly get up to speed with them, using examples from a wide range of languages. Translator trainers will also find it invaluable when constructing or updating their courses. This unique book covers many topics in addition to text translation. These include: the history of the technologies, project management, terminology research and corpora, audiovisual translation, website, software and games localisation, and quality assurance. Professional workflows are at the heart of the narrative, and due consideration is also given to the legal and ethical questions arising from the re-use of translation data. With targeted suggestions for further reading at the end of each chapter to guide users in deepening their knowledge, this is the essential textbook for all courses in translation and technology within translation studies and translator training"-- The most comprehensive up-to-date student-friendly guide to translation tools and technologies.Translation Tools and Technologies are an essential component of any translator training programme, following European Masters in Translation framework guidelines.Unlike the competition, this textbook offers comprehensive and accessible explanations of how to use current translation tools, illustrated by examples using a wide range of languages, linked to task-oriented, self-study training materials

     
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  5. Formal Analysis for Natural Language Processing: A Handbook
    Autor*in: Feng, Zhiwei
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data.... mehr

     

    The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field's history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing. At a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on natural language processing or computational linguistics, or as a supplement to courses on artificial intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811651717
    Auflage/Ausgabe: 1st ed. 2023
    Schlagworte: COMPUTERS / Computer Science; COMPUTERS / Data Processing / Speech & Audio Processing; Computational linguistics; Computer science; Computerlinguistik und Korpuslinguistik; LANGUAGE ARTS & DISCIPLINES / Linguistics; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik
    Umfang: 796 Seiten
    Bemerkung(en):

    Part One History Review Chapter One Past and Present of Natural Language Processing 1.1 What is natural language processing 1.2 History review of natural language processing 1.3 Characteristics of current trends in natural language processing References Chapter Two Pioneers in the Study of Language Computing 2.1 Markov chains 2.2 Zipf's law 2.3 Shannon's work on entropy 2.4 Bar-Hillel's category grammar 2.5 Harris's approach of linguistic string analysis 2.6 . . 's linguistic set theory model References
  6. Soziolinguistik trifft Korpuslinguistik
    Deutsch-polnische und deutsch-tschechische Zweisprachigkeit
    Beteiligt: Hansen, Björn (HerausgeberIn); Zielińska, Anna (HerausgeberIn)
    Erschienen: 2022
    Verlag:  Universitätsverlag Winter, Heidelberg

    Die kollektive Monographie ist ein Beitrag zur empirisch orientierten Erforschung deutsch-polnischer bzw. -tschechischer Zweisprachigkeit, der sozio- und korpuslinguistische Perspektiven zusammenführt. Sie ist im Rahmen des deutsch-polnischen... mehr

    Zugang:
    Resolving-System (lizenzpflichtig)

    Standort:
    Badische Landesbibliothek
    Fernleihe:
    keine Fernleihe

     

    Die kollektive Monographie ist ein Beitrag zur empirisch orientierten Erforschung deutsch-polnischer bzw. -tschechischer Zweisprachigkeit, der sozio- und korpuslinguistische Perspektiven zusammenführt. Sie ist im Rahmen des deutsch-polnischen Projekts ‚Language across generations: contact induced change in morphosyntax in German-Polish bilingual speech‘ entstanden. Vorgestellt wird das deutsch-polnische Korpus ‚LangGener‘, das Interviews umfasst, die von Bilingualen aus zwei nach Spracherwerbskriterien definierten Generationen aufgenommen wurden. Das in einem Unterprojekt erstellte deutsch-tschechische Korpus basiert auf Interviews mit zwei verschiedenen Migrationsgruppen. Ein korpuslinguistisches Novum ist die Annotation von sprachbiographischen Fakten und von Sprachkontaktphänomenen wie Replikationen. Der Band stellt zudem eine praktische Anleitung für die Erstellung soziolinguistischer Korpora zur Mehrsprachigkeit dar.

     
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    Quelle: Verbundkataloge
    Beteiligt: Hansen, Björn (HerausgeberIn); Zielińska, Anna (HerausgeberIn)
    Sprache: Deutsch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783825385910 10.33675/202282538591
    Weitere Identifier:
    9783825385910
    Auflage/Ausgabe: 1. Auflage
    Schriftenreihe: Slavica. Monographien, Hand-, Lehr- und Wörterbücher ; 9
    Schlagworte: Computerlinguistik und Korpuslinguistik; Deutschland; Polen; Tschechien; Deutsch; Polnisch; Tschechisch; 20. Jahrhundert (1900 bis 1999 n. Chr.); 21. Jahrhundert (2000 bis 2100 n. Chr.); Soziolinguistik; Korpuslinguistik; Mehrsprachigkeit; Sprachbiographien; 20. Jahrhundert; 21. Jahrhundert; Deutsch; Polnisch; Tschechisch; Sprachwandel; Sprachkontakt; Morphosyntax; Migration
    Umfang: Illustrationen
  7. Chinese lexical semantics
    Part 1
    Beteiligt: Su, Qi (HerausgeberIn); Xu, Ge (HerausgeberIn); Yang, Xiaoyan (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Cham

    The two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RN 2835(13495)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Fernleihe:
    keine Fernleihe

     

    The two-volume set LNAI 13495 and LNAI 13496, constitute the refereed post-workshop proceedings of the 23rd Chinese Lexical Semantics Workshop, CLSW 2022, held as a virtual event, during May 14-15, 2022. In total the two-volume set includes 39 full papers and 19 short papers which were carefully reviewed and selected from 214 submissions. They are organized in the following topical sections: lexical semantics; corpus linguistics; general linguistics, lexical resources; computational linguistics, applications of natural language processing

     
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    Quelle: Verbundkataloge
    Beteiligt: Su, Qi (HerausgeberIn); Xu, Ge (HerausgeberIn); Yang, Xiaoyan (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031289521
    Weitere Identifier:
    Übergeordneter Titel: Chinese lexical semantics - Alle Bände anzeigen
    Schriftenreihe: Array ; 13495
    Schlagworte: COMPUTERS / Natural Language Processing; Chinese; Chinesisch; Computational linguistics; Computerlinguistik und Korpuslinguistik; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: xv, 569 Seiten, Diagramme
    Bemerkung(en):

    Literaturangaben

    Divergence and Convergence in Tense and Aspect Meanings of "guo" and "le".- A Corpus-based Study on the Syllablic Form Selection of Ancient Chinese High-frequency Nouns in the Middle Ages.- On the Emergence of Positive Meaning of Xiangdan from the Structure of Xiangdan de NP.- Active and Passive Expressions of Tolerance: A Semantic Analysis of the Near-Synonyms ren3 and shou4 Based on MARVS Theory.- A Study of Nominal Verbs in Modern Chinese Based on Shannon-Wiener Index--Case Studies on "Bianhua" Words.- The Causativity of Preposition "Dui (for)".- Construction of Grammar Collocation Library for International Chinese Language Education and Difficulty Standard.- The Study of Causal Nouns in Mandarin Chinese: From the Perspective of Syntactic Realization and Pragmatic Function.- Construction of Effective News Corpus in Commodity Futures Domain.- MSDD: A Multimodal Language Dataset for Stance Detection.- Novel Lexical Semantic Change and Interactivization.- The Phonetic Types, Mechanism, and Motivation of Syllable Contraction of "numerals + ge" in Henan dialect.- A Hybrid Account of the Expressivity in Mandarin Nominals.- The Relationship Between the Emphatic Meaning and the Adversative Meaning from the Perspective of Linguistic Typology: The Cases of Chinese Ke and Jiùshì.- Research on the Semantic Map of Multifunctional Morpheme Cong.- Aspectuality and Subjectivity of Le in Chinese Conditionals.- Research on the Phenomenon of Tone Sandhi of BB in ABB-Pattern Adjectives from the Perspective of Coercion Effects.- Extracting Concepts and Semantic Associates for Teaching Tang 300 Poems to L2 Learners.- Tracing Lexical Semantic Change with Distributional Semantics: Change and Stability.- A Study on the Recovery of Omitted Constituents in Chinese Elliptical Sentences.- Recognition of Disyllabic Intransitive Verbs and Study on Disyllabic Intransitive Verbs Taking Objects Based on Structure Retrieval.- The Introduction of Positive Position in "Vwish +VPneg" and its Pragmatic Consequences.- A Grammatical Study of Chinese Counter-Expectation Marker "Jìngrán" -in Comparison with Korean Counter-Expectation Marker "-tani".- Variations in Alternative Pattern of Light Verb Construction between Taiwan and Mainland Mandarin.- Responses to Questions in Mandarin Chinese.- Semantic Dependency Analysis of Special Sentence Patterns in Ancient Chinese.- A Study on the Selection Mechanism of the Chinese Loan Words of the Same Signified with Different Signifiers.- A Case Study on Scalar Ordering Relations of Chinese Adverbs.- Study of Chinese Words in Diachronic Corpus of Newspaper.- The Similarities and Differences of Thanks Responses between Native Speakers and Mandarin Teaching Materials in Taiwan.- A Study on the Positional Relationship Between Preposition-Object Structures and Predicate Components in Mozi Based on Corpus.- The First Step to Resolve the Centennial Controversy over the Adverb D u: Classification.- The Syntactic Features of Chinese Verbs of Saluting.- The Semantic Roles of Chinese Verbs of Saluting.- A Study on the Context Mode of the Linking Verb "Shi" Addressing a New Branch Naming.- Taking Comparison between the Degree Adverbs in Northeast Dialect and Taiwanese Mandarin from Three Perspectives - Taking L o and Chao as Examples.- Exploring the Semantic Differences of Motion Verbs from the Perspective of Image Schema - Take the Verbs "la", " zhuài " and "tu " as An Example.- A Corpus-Based Study of the Usage of Chinese Core Separable Words i
  8. Foundation Models for Natural Language Processing
    Pre-trained Language Models Integrating Media
    Autor*in: Paaß, Gerhard; Giesselbach, Sven
    Erschienen: 2023
    Verlag:  Springer International Publishing AG, Cham

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a... mehr

     

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI

     
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    Cover (lizenzpflichtig)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031231896
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: Artificial Intelligence: Foundations, Theory, and Algorithms
    Schlagworte: Artificial intelligence; COM094000; COMPUTERS / Artificial Intelligence; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 444 Seiten
    Bemerkung(en):

    1 Introduction 1.1 Scope of the Book 1.2 Preprocessing of Text 1.3 Vector Space Models and Document Classification 1.4 Nonlinear Classifiers 1.5 Generating Static Word Embeddings 1.6 Recurrent Neural Networks 1.7 Convolutional Neural Networks 1.8 Summary 2 Pre-trained Language Models2.1 BERT: Self-Attention and Contextual Embeddings 2.2 GPT: Autoregressive Language Models 2.3 Transformer: Sequence-to-Sequence Translation 2.4 Training and Assessment of Pre-trained Language Models 3 Improving Pre-trained Language Models 3.2 Capturing Longer Dependencies 3.3 Multilingual Pre-trained Language Models 3.4 Additional Knowledge for Pre-trained Language Models 3.5 Changing Model Size 3.6 Fine-tuning for Specific Applications 4. Knowledge Acquired by Foundation Models 4.1 Benchmark Collections 4.2 Evaluating Knowledge by Probing Classifiers 4.3 Transferability and Reproducibility of Benchmarks 5 Foundation Models for Information Extraction 5.1 Text Classification5.2 Word Sense Disambiguation5.3 Named Entity Recognition 5.4 Relation Extraction 6 Foundation Models for Text Generation 6.1 Document Retrieval6.2 Question Answering 6.3 Neural Machine Translation 6.4 Text Summarization 6.5 Story Generation 6.6 Dialog Systems 7 Foundation Models for Speech, Images, Videos, and Control 7.1 Speech Recognition and Generation7.2 Image Processing and Generation 7.3 Video Interpretation and Generation 7.4 Controlling Dynamic Systems 8 Summary and Outlook 8.1 Foundation Models are a New Paradigm 8.2 Potential Harm from Foundation Models 8.3 Advanced Artificial Intelligence Systems Appendix
  9. Foundation Models for Natural Language Processing
    Pre-trained Language Models Integrating Media
    Autor*in: Paaß, Gerhard; Giesselbach, Sven
    Erschienen: 2023
    Verlag:  Springer International Publishing AG, Cham

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a... mehr

     

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI

     
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    Cover (lizenzpflichtig)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031231926
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: Artificial Intelligence: Foundations, Theory, and Algorithms
    Schlagworte: Artificial intelligence; COM094000; COMPUTERS / Artificial Intelligence; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 444 Seiten
    Bemerkung(en):

    1 Introduction 1.1 Scope of the Book 1.2 Preprocessing of Text 1.3 Vector Space Models and Document Classification 1.4 Nonlinear Classifiers 1.5 Generating Static Word Embeddings 1.6 Recurrent Neural Networks 1.7 Convolutional Neural Networks 1.8 Summary 2 Pre-trained Language Models2.1 BERT: Self-Attention and Contextual Embeddings 2.2 GPT: Autoregressive Language Models 2.3 Transformer: Sequence-to-Sequence Translation 2.4 Training and Assessment of Pre-trained Language Models 3 Improving Pre-trained Language Models 3.2 Capturing Longer Dependencies 3.3 Multilingual Pre-trained Language Models 3.4 Additional Knowledge for Pre-trained Language Models 3.5 Changing Model Size 3.6 Fine-tuning for Specific Applications 4. Knowledge Acquired by Foundation Models 4.1 Benchmark Collections 4.2 Evaluating Knowledge by Probing Classifiers 4.3 Transferability and Reproducibility of Benchmarks 5 Foundation Models for Information Extraction 5.1 Text Classification5.2 Word Sense Disambiguation5.3 Named Entity Recognition 5.4 Relation Extraction 6 Foundation Models for Text Generation 6.1 Document Retrieval6.2 Question Answering 6.3 Neural Machine Translation 6.4 Text Summarization 6.5 Story Generation 6.6 Dialog Systems 7 Foundation Models for Speech, Images, Videos, and Control 7.1 Speech Recognition and Generation7.2 Image Processing and Generation 7.3 Video Interpretation and Generation 7.4 Controlling Dynamic Systems 8 Summary and Outlook 8.1 Foundation Models are a New Paradigm 8.2 Potential Harm from Foundation Models 8.3 Advanced Artificial Intelligence Systems Appendix
  10. Symbols
    an evolutionary history from the Stone Age to the future
    Autor*in: Sproat, Richard William
    Erschienen: 2023
    Verlag:  Springer, Cham, Switzerland

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds... mehr

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    Standort:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
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    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems -- systems that are not tied to spoken language -- and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex "messages" if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were "dictated", thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical "evidence" for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems. Richard Sproat is a Research Scientist at Google working on Deep Learning. He has a long-standing interest in writing systems and other graphical symbol systems

     
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    Quelle: Staatsbibliothek zu Berlin
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783031268090; 3031268091
    Schlagworte: Signs and symbols; COM094000; COMPUTERS / Computer Science; COMPUTERS / Computer Simulation; COMPUTERS / Natural Language Processing; Computational linguistics; Computer modelling & simulation; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Computermodellierung und -simulation; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Social research & statistics
    Umfang: 1 Online-Ressource (xiii, 235 pages), Illustrationen
    Bemerkung(en):

    Includes bibliographical references and index

    1. Introduction -- 2. Semiotics -- 3. Taxonomy -- 4. Writing Systems -- 5. Symbols in the Brain -- 6. The Evolution of Writing -- 7. Simulations -- 8. Misrepresentations -- 9. The Future.
  11. Translation tools and technologies
    Autor*in: Rothwell, Andrew; Moorkens, Joss; Fernández-Parra, María; Drugan, Joanna; Austermühl, Frank
    Erschienen: 2023
    Verlag:  Routledge, Taylor & Francis Group, London

    "To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously-illustrated textbook offers a straightforward... mehr

     

    "To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously-illustrated textbook offers a straightforward and practical guide to translation tools and technologies. Demystifying the workings of Computer-Assisted Translation (CAT) and Machine Translation (MT) technologies, Translation Tools and Technologies offers clear step-by-step guidance on how to choose suitable tools (free or commercial) for the task in hand and quickly get up to speed with them, using examples from a wide range of languages. Translator trainers will also find it invaluable when constructing or updating their courses. This unique book covers many topics in addition to text translation. These include: the history of the technologies, project management, terminology research and corpora, audiovisual translation, website, software and games localisation, and quality assurance. Professional workflows are at the heart of the narrative, and due consideration is also given to the legal and ethical questions arising from the re-use of translation data. With targeted suggestions for further reading at the end of each chapter to guide users in deepening their knowledge, this is the essential textbook for all courses in translation and technology within translation studies and translator training"-- The most comprehensive up-to-date student-friendly guide to translation tools and technologies.Translation Tools and Technologies are an essential component of any translator training programme, following European Masters in Translation framework guidelines.Unlike the competition, this textbook offers comprehensive and accessible explanations of how to use current translation tools, illustrated by examples using a wide range of languages, linked to task-oriented, self-study training materials

     
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  12. Translation tools and technologies
    Autor*in: Rothwell, Andrew; Drugan, Joanna; Moorkens, Joss; Fernández-Parra, María; Austermühl, Frank
    Erschienen: 2023
    Verlag:  Routledge, Taylor & Francis Group, London

    "To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously-illustrated textbook offers a straightforward... mehr

     

    "To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously-illustrated textbook offers a straightforward and practical guide to translation tools and technologies. Demystifying the workings of Computer-Assisted Translation (CAT) and Machine Translation (MT) technologies, Translation Tools and Technologies offers clear step-by-step guidance on how to choose suitable tools (free or commercial) for the task in hand and quickly get up to speed with them, using examples from a wide range of languages. Translator trainers will also find it invaluable when constructing or updating their courses. This unique book covers many topics in addition to text translation. These include: the history of the technologies, project management, terminology research and corpora, audiovisual translation, website, software and games localisation, and quality assurance. Professional workflows are at the heart of the narrative, and due consideration is also given to the legal and ethical questions arising from the re-use of translation data. With targeted suggestions for further reading at the end of each chapter to guide users in deepening their knowledge, this is the essential textbook for all courses in translation and technology within translation studies and translator training"-- The most comprehensive up-to-date student-friendly guide to translation tools and technologies.Translation Tools and Technologies are an essential component of any translator training programme, following European Masters in Translation framework guidelines.Unlike the competition, this textbook offers comprehensive and accessible explanations of how to use current translation tools, illustrated by examples using a wide range of languages, linked to task-oriented, self-study training materials

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9780367750336; 9780367750329
    Schriftenreihe: Routledge introductions to translation and interpreting
    Schlagworte: Translating and interpreting; Machine translating; Artificial intelligence; COMPUTERS / Social Aspects / Human-Computer Interaction; Computational linguistics; Computerlinguistik und Korpuslinguistik; Digital- und Informationstechnologien: Rechtliche Aspekte; Digital- und Informationstechnologien: soziale und ethische Aspekte; Ethical & social aspects of IT; FOREIGN LANGUAGE STUDY / General; Human-computer interaction; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; LANGUAGE ARTS & DISCIPLINES / Translating & Interpreting; Legal aspects of IT; Literatur: Geschichte und Kritik; Literature: history & criticism; Mensch-Computer-Interaktion; Translation & interpretation; Übersetzen und Dolmetschen
    Umfang: xxii, 247 Seiten, Illustrationen
    Bemerkung(en):

    Enthält: Literaturverzeichnis Seite [219]-234, Index Seite [235]-247

    Introducing translation tools and technologies -- Principles of computer-assisted translation (CAT) -- Translation memory, matching, alignment and data exchange -- Managing terminology in CAT tools -- Corpora (domain research, term extraction) -- Current machine translation technologies -- Advanced leveraging in CAT tools -- Translation project management -- Subtitle editing tools -- Software and games localisation -- Translation quality assurance -- Human factors in translation tools and technologies.
  13. Machine translation and foreign language learning
    Autor*in: Tekwa, Kizito
    Erschienen: [2023]
    Verlag:  Springer, Singapore

    The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of... mehr

     

    The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers

     
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  14. Ontology of Communication
    Agent-Based Data-Driven or Sign-Based Substitution-Driven?
    Autor*in: Hausser, Roland
    Erschienen: 2023
    Verlag:  Springer International Publishing AG, Cham

    The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by... mehr

     

    The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by cognition-internal content (input) resulting in cognition-external raw data (e.g. sound waves or pixels, which have no meaning or grammatical properties but can be measured by natural science), and hear mode, driven by the raw data produced by the speaker resulting in cognition-internal content.The motivation is to compare two approaches for an ontology of communication: agent-based data-driven vs. sign-based substitution-driven. Agent-based means: design of a cognitive agent with (i) an interface component for converting raw data into cognitive content (recognition) and converting cognitive content into raw data (action), (ii) an on-board, content-addressable memory (database) for the storage and content retrieval, (iii) separate treatments of the speak and the hear mode. Data-driven means: (a) mapping a cognitive content as input to the speak-mode into a language-dependent surface as output, (b) mapping a surface as input to the hear-mode into a cognitive content as output. Oppositely, sign-based means: no distinction between speak and hear mode, whereas substitution-driven means: using a single start symbol as input for generating infinitely many outputs, based on substitutions by rewrite rules.Collecting recent research of the author, this beautiful, novel and original exposition begins with an introduction to DBS, makes a linguistic detour on subject/predicate gapping and slot-filler repetition, and moves on to discuss computational pragmatics, inference and cognition, grammatical disambiguation and other related topics. The book is mostly addressed to experts working in the field of computational linguistics, as well as to enthusiasts interested in the history and early development of this subject, starting with the pre-computational foundations of theoretical computer science and symbolic logic in the 30s

     
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    Cover (lizenzpflichtig)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031227387
    Auflage/Ausgabe: 1st ed. 2023
    Schlagworte: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 258 Seiten
    Bemerkung(en):

    1. Introduction 1.1 Ontology 1.2 Computational Cognition1.3 Agent-Based Data-Driven vs. Sign-Based Substitution-Driven 1.4 Reconciling the Hierarchical and the Linear 1.5 Speak Mode Converts Hierarchy into Linear Surface 1.6 Hear Mode Re-Converts Linear Input into Hierarchical Output 1.7 Derivation Order 1.8 Type Transparency 1.9 Four Kinds of Type-Token Relations 1.10 Conclusion 2. Laboratory Set-up of Database Semantics 2.1 Early Times 2.2 Study of the Language Signs 2.3 Using Successful Communication for the Laboratory Set-Up 2.4 From Operational Implementation to Declarative Specification 2.5 Formal Fragments of Natural Language 2.6 Incremental Upscaling Cycles 2.7 Conclusion 3. Outline of DBS 3.1 Building Content in the Agent's Hear Mode3.2 Storage and Retrieval of Content in the On-Board Memory 3.3 Speak Mode Riding Piggyback on the Think Mode 3.4 Component Structure of Cognition 3.5 Sensory Media, Processing Media, and Their Modalities 3.6 Reference as a Purely Cognitive Process 3.7 Grounding 3.8 Conclusion 4. Software Mechanisms of the Content Kinds 4.1 Apparent Terminological Redundancy4.2 Restriction of Figurative Use to Concepts 4.3 Additional Constraint on Figurative Use 4.4 Declarative Specification Of Concepts for Recognition 4.5 Declarative Specification of Concepts for Action4.6 Indirect Grounding of Indexicals and Names 4.7 Conclusion 5. Comparison of Coordination and Gapping 5.1 Coordination of Elementary Adnominals 5.2 Coordination of Phrasal Adnominal Modifiers 5.3 Coordination of Phrasal Adverbial Modifiers 5.4 Coordination of Elementary Nouns as Subject 5.5 Intra- and Extrapropositional Verb Coordination 5.6 Extrasentential Coordination 5.7 Quasi Coordination in Subject Gapping 5.8 Quasi Coordination in Predicate Gapping 5.9 Quasi Coordination in Object Gapping 5.10 Conclusion 6. Are Iterating Slot-Filler Structures Universal? 6.1 Language and Thought 6.2 Slot-Filler Iteration 6.3 Marked Slot-Filler Repetition in Infinitives6.4 Marked Slot-Filler Repetition in Object Clauses 6.5 Marked Slot-Filler Repetition in Adnominal Clauses 6.6 Unmarked Slot-Filler Iteration in Gapping Constructions 6.7 Long-Distance Dependency 6.8 Conclusion 7. Computational Pragmatics7.1 Four Kinds of Content in DBS 7.2 Coactivation Resulting in Resonating Content 7.3 Literal Pragmatics of Adjusting Perspective7.4 Nonliteral Pragmatics of Syntactic Mood Adaptation 7.5 Nonliteral Pragmatics of Figurative Use7.6 Conclusion8. Discontinuous Structures in DBS and PSG8.1 The Time-Linear Structure of Natural Language 8.2 Constituent Structure Paradox of PSG8.3 Suspension in Database Semantics 8.4 Discontinuity with and without Suspension in DBS 8.5 Conclusion 9. Classical Syllogisms as Computational Inferences 9.1 Logical vs. Common Sense Reasoning9.2 Categorical Syllogisms 9.3 Modus Ponendo Ponens 9.4 Modus Tollendo Tollens 9.5 Modi BARBARA and CELARENT9.6 Modi DARII and FERIO 9.7 Modi BAROCO and BOCARDO 9.8 Combining S- and C-Inferencing 9.9 Analogy 9.10 Conclusion 10. Grounding of Concepts in Science 10.1 The Place of Concepts in a Content 10.2 Definition of Concepts at the Elementary, Phrasal, or Clausal Level? 10.3 Extending a Concept to its Class 10.4 Language Communication10.5 Combining Concepts into Content 10.6 Language Surfaces and Meaning_1 Concepts in Communication 10.7 Extero- and Interoception 10.8 Emotion 10.9 Conclusion 11. Function Words 11.1 Introduction11.2 Interpreting Determiner Noun Combination in Hear Mode 11.3 Producing Dete
  15. Music, Mathematics and Language
    The New Horizon of Computational Musicology Opened by Information Science
    Autor*in: Hirata, Keiji; Hamanaka, Masatoshi; Tojo, Satoshi
    Erschienen: 2022
    Verlag:  Springer Verlag, Singapore, Singapore

    This book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using... mehr

     

    This book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using symbols and described using language? The authors seek to answer these questions in order to reveal the essence of music.Chapter 1 addresses a very fundamental point, the meaning of music, while referring to semiotics, gestalt, Schenkerian analysis and cognitive reality. Chapter 2 considers why the 12-tone equal temperament came to be prevalent. This chapter serves as an introduction to the mathematical definition of harmony, which concerns the ratios of frequency in tonic waves. Chapter 3, "Music and Language," explains the fundamentals of grammar theory and the compositionality principle, which states that the semantics of a sentence can be composed in parallel to its syntactic structure. In turn, Chapter 4 explains the most prevalent score notation - the Berklee method, which originated at the Berklee School of Music in Boston - from a different point of view, namely, symbolic computation based on music theory. Chapters 5 and 6 introduce readers to two important theories, the implication-realization model and generative theory of tonal music (GTTM), and explain the essence of these theories, also from a computational standpoint. The authors seek to reinterpret these theories, aiming at their formalization and implementation on a computer. Chapter 7 presents the outcomes of this attempt, describing the framework that the authors have developed, in which music is formalized and becomes computable. Chapters 8 and 9 are devoted to GTTM analyzers and the applications of GTTM. Lastly, Chapter 10 discusses the future of music in connection with computation and artificial intelligence.This book is intended both for general readers who are interested in music, and scientists whose research focuses on music information processing. In order to make the content as accessible as possible, each chapter is self-contained

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811951657
    Auflage/Ausgabe: 1st ed. 2022
    Schlagworte: Angewandte Mathematik; Applied mathematics; Artificial intelligence; COMPUTERS / Artificial Intelligence; Computational linguistics; Computerlinguistik und Korpuslinguistik; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; LITERARY CRITICISM / Semiotics & Theory; MATHEMATICS / Applied; MATHEMATICS / Logic; Mathematical foundations; Mathematik: Logik; Mathematische Grundlagen; Musikwissenschaft und Musiktheorie; PHILOSOPHY / Aesthetics; Philosophie Ästhetik; Philosophy: aesthetics; Semiotics / semiology; Semiotik und Semiologie
    Umfang: 257 Seiten
    Bemerkung(en):

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Chapter 1: Toward the Machine Computing Semantics of Music.- Chapter 2: Mathematics of Temperament: Principle and Development.- Chapter 3: Music and Natural Language.- Chapter 4: Berklee Method.- Chapter 5: Implication-Realization Model.- Chapter 6: Generative Theory of Tonal Music and Tonal Pitch Space.- Chapter 7: Formalization of GTTM.- Chapter 8: Implementation of GTTM.- Chapter 9: Application of GTTM.- Chapter 10: Epilogue.
  16. Vector Semantics
    Autor*in: Kornai, Andras
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    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

     

    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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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811956065
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: Cognitive Technologies
    Schlagworte: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; LANGUAGE ARTS & DISCIPLINES / Linguistics; Literature: history & criticism; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 273 Seiten
    Bemerkung(en):

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Contents Preface............................................................... vii1 Foundations of non-compositionality................................. 1.1 Background ................................................... 1.2 Lexicographic principles ........................................ 1.3 The syntax of definitions ........................................ 1.4 The geometry of definitions...................................... 1.5 The algebra of definitions ....................................... 2 From morphology to syntax ........................................ 23 2.1 Lexical categories and subcategories .............................. 23 2.2 Bound morphemes ............................................. 25 2.3 Relations ..................................................... 30 2.4 Linking....................................................... 39 2.5 Naive grammar ................................................ 463 Time and space.................................................... 53 3.1 Space ........................................................ 54 3.2 Time ......................................................... 59 3.3 Indexicals, coercion ............................................ 62 3.4 Measure ...................................................... 654 Negation.......................................................... 69 4.1 Negation in the lexicon.......................................... 71 4.2 Quantifiers .................................................... 73 4.3 Negation in compositional constructions ........................... 74 4.4 Double negation ............................................... 77 4.5 Compositional quantifiers ....................................... 78 4.6 Disjunction ................................................... 80 4.7 Scope ambiguities.............................................. 81 4.8 Conclusions ................................................... 82 5 Valuations ........................................................ 83 5.1 Introduction ................................................... 83 5.2 The likeliness scale............................................. 84 5.3 Naive inference (likeliness update) ................................ 86 5.4 Learning...................................................... 89 5.5 Conclusions ................................................... 916 Modality ......................................................... 93 6.1 The deontic world .............................................. 93 6.2 Epistemic and autoepistemic logic ................................ 93 6.3 Defaults ...................................................... 937 Adjectives, gradience, implicature ................................... 95 7.1 Adjectives .................................................... 95 7.2 Gradience..................................................... 96 7.3 Implicature.................................................... 96 7.4 The elementary pieces .......................................... 97 7.5 The mechanism ................................................ 100 7.6 Memory ...................................................... 103 7.7 Conclusions ................................................... 1048 Trainability and real-world knowledge............................... 1078.1 Proper names.................................................. 107 8.2 Trainability ................................................... 1099 Dynamic embeddings ....................................
  17. Vector Semantics
    Autor*in: Kornai, Andras
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    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

     

    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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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811956096
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: Cognitive Technologies
    Schlagworte: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; LANGUAGE ARTS & DISCIPLINES / Linguistics; Literature: history & criticism; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 273 Seiten
    Bemerkung(en):

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Contents Preface............................................................... vii1 Foundations of non-compositionality................................. 1.1 Background ................................................... 1.2 Lexicographic principles ........................................ 1.3 The syntax of definitions ........................................ 1.4 The geometry of definitions...................................... 1.5 The algebra of definitions ....................................... 2 From morphology to syntax ........................................ 23 2.1 Lexical categories and subcategories .............................. 23 2.2 Bound morphemes ............................................. 25 2.3 Relations ..................................................... 30 2.4 Linking....................................................... 39 2.5 Naive grammar ................................................ 463 Time and space.................................................... 53 3.1 Space ........................................................ 54 3.2 Time ......................................................... 59 3.3 Indexicals, coercion ............................................ 62 3.4 Measure ...................................................... 654 Negation.......................................................... 69 4.1 Negation in the lexicon.......................................... 71 4.2 Quantifiers .................................................... 73 4.3 Negation in compositional constructions ........................... 74 4.4 Double negation ............................................... 77 4.5 Compositional quantifiers ....................................... 78 4.6 Disjunction ................................................... 80 4.7 Scope ambiguities.............................................. 81 4.8 Conclusions ................................................... 82 5 Valuations ........................................................ 83 5.1 Introduction ................................................... 83 5.2 The likeliness scale............................................. 84 5.3 Naive inference (likeliness update) ................................ 86 5.4 Learning...................................................... 89 5.5 Conclusions ................................................... 916 Modality ......................................................... 93 6.1 The deontic world .............................................. 93 6.2 Epistemic and autoepistemic logic ................................ 93 6.3 Defaults ...................................................... 937 Adjectives, gradience, implicature ................................... 95 7.1 Adjectives .................................................... 95 7.2 Gradience..................................................... 96 7.3 Implicature.................................................... 96 7.4 The elementary pieces .......................................... 97 7.5 The mechanism ................................................ 100 7.6 Memory ...................................................... 103 7.7 Conclusions ................................................... 1048 Trainability and real-world knowledge............................... 1078.1 Proper names.................................................. 107 8.2 Trainability ................................................... 1099 Dynamic embeddings ....................................
  18. Current Issues in Descriptive Linguistics and Digital Humanities
    A Festschrift in Honor of Professor Eno-Abasi Essien Urua
    Beteiligt: Ekpenyong, Moses Effiong (HerausgeberIn); Udoh, Imelda Icheji (HerausgeberIn)
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    This book is a convergence of heterogeneous insights (from languages and literature, history, music, media and communications, computer science and information studies) which previously went their separate ways; now unified under a single framework... mehr

     

    This book is a convergence of heterogeneous insights (from languages and literature, history, music, media and communications, computer science and information studies) which previously went their separate ways; now unified under a single framework for the purpose of preserving a unique heritage, the language. In a growing society like ours, description and documentation of human and scientific evidence/resources are improving. However, these resources have enjoyed cost-effective solutions for Western languages but are yet to flourish for African tone languages. By situating discussions around a universe of discourse, sufficient to engender cross-border interactions within the African context, this book shall break a dichotomy of challenges on adaptive processes required to unify resources to assist the development of modern solutions for the African domain

     
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    Beteiligt: Ekpenyong, Moses Effiong (HerausgeberIn); Udoh, Imelda Icheji (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811929311
    Auflage/Ausgabe: 1st ed. 2022
    Schlagworte: Computational linguistics; Computerlinguistik und Korpuslinguistik; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; LANGUAGE ARTS & DISCIPLINES / Linguistics; LITERARY CRITICISM / General; Literary studies: general; Literaturwissenschaft, allgemein; Social & cultural anthropology, ethnography; Sozial- und Kulturanthropologie, Ethnographie
    Umfang: 719 Seiten
    Bemerkung(en):

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Language, Proverbs, Power and Male Chauvinism in Anaang Society.- A Morphological Description of Proverbial Ígálà Personal Names.- Linguistic Colonialism and Its Implications on Indigenous Languages in Nigeria.- Americanization Of English In Nigerian Broadcasting: A Sociophonetic Insight into Traditional News Broadcast Vs. Entertainment News Broadcast.- The Concept of Listening.- Syntax of Agreement in Ekid.- Religious Rhetoric and Church Development in Rural Nigeria.- A Contrastive Analysis of The Verbal Group Structures of English And Urhobo.- Inherent Complement Verbs in Ibibio.- A Phonological Description of Ibibio Individual Name.- Significance of The Ibibio Indigenous Songs in The Ibibio Cultural Heritage.- Bridging Language Gap, Promoting Deaf Literacy in Nigeria Through Indigenous Sign Languages.- Syntactic Analysis of Non-Basic Constructions In Ék d Ibibio Speech Rhythm: Two Phonetic Paradigms.- An Epigraphy of Igbo Inscriptions on Tricycles in Aba.- The Nativisation Of English Language in Chimamanda Adichie's Collection of Short Stories, The Thing Around Your Neck.- Level-Ordered Morphology in B t Simple Nouns.- A Morpho-Phonological Investigation of The Derivation of Iz N Numerals.- Oral Tradition and Literature: A Conceptual Analysis of Itu Mbon Uso Folktales.- Requesting Strategies in Nigerian And British English: A Corpus-Based Approach.- Polar Interrogative Strategies in Obolo.- Teachers' Motivational Impacts on Second Language (L2) Learners' Goal Attainment: The Eno-Abasi Urua Model.- The Language Factor in Information Dissemination for Development.- Language, Culture, and Identity: The Nigerian Situation Communication for Social Mobilization in Selected Mamser Campaign Speeches.- Body Parts as Grammatical Markers in Fulfulde: The Case of Prepositions.
  19. Foundation models for Natural Language Processing
    pre-trained language models integrating media
    Autor*in: Paass, Gerhard; Giesselbach, Sven
    Erschienen: [2023]
    Verlag:  Springer, Cham, Switzerland

    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a... mehr

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    This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031231926
    Schriftenreihe: Artificial Intelligence: Foundations, Theory, and Algorithms
    Schlagworte: Artificial intelligence; COM094000; COMPUTERS / Artificial Intelligence; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: xviii, 436 Seiten, Diagramme
    Bemerkung(en):

    1 Introduction 1.1 Scope of the Book 1.2 Preprocessing of Text 1.3 Vector Space Models and Document Classification 1.4 Nonlinear Classifiers 1.5 Generating Static Word Embeddings 1.6 Recurrent Neural Networks 1.7 Convolutional Neural Networks 1.8 Summary 2 Pre-trained Language Models2.1 BERT: Self-Attention and Contextual Embeddings 2.2 GPT: Autoregressive Language Models 2.3 Transformer: Sequence-to-Sequence Translation 2.4 Training and Assessment of Pre-trained Language Models 3 Improving Pre-trained Language Models 3.2 Capturing Longer Dependencies 3.3 Multilingual Pre-trained Language Models 3.4 Additional Knowledge for Pre-trained Language Models 3.5 Changing Model Size 3.6 Fine-tuning for Specific Applications 4. Knowledge Acquired by Foundation Models 4.1 Benchmark Collections 4.2 Evaluating Knowledge by Probing Classifiers 4.3 Transferability and Reproducibility of Benchmarks 5 Foundation Models for Information Extraction 5.1 Text Classification5.2 Word Sense Disambiguation5.3 Named Entity Recognition 5.4 Relation Extraction 6 Foundation Models for Text Generation 6.1 Document Retrieval6.2 Question Answering 6.3 Neural Machine Translation 6.4 Text Summarization 6.5 Story Generation 6.6 Dialog Systems 7 Foundation Models for Speech, Images, Videos, and Control 7.1 Speech Recognition and Generation7.2 Image Processing and Generation 7.3 Video Interpretation and Generation 7.4 Controlling Dynamic Systems 8 Summary and Outlook 8.1 Foundation Models are a New Paradigm 8.2 Potential Harm from Foundation Models 8.3 Advanced Artificial Intelligence Systems Appendix
  20. << A>> course in Natural Language Processing
    Autor*in: Haralambous, Yannis
    Erschienen: [2024]
    Verlag:  Springer, Cham, Switzerland

    Natural Language Processing is the branch of Artificial Intelligence involving language, be it in spoken or written modality. Teaching Natural Language Processing (NLP) is difficult because of its inherent connections with other disciplines, such as... mehr

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    Natural Language Processing is the branch of Artificial Intelligence involving language, be it in spoken or written modality. Teaching Natural Language Processing (NLP) is difficult because of its inherent connections with other disciplines, such as Linguistics, Cognitive Science, Knowledge Representation, Machine Learning, Data Science, and its latest avatar: Deep Learning. Most introductory NLP books favor one of these disciplines at the expense of others. Based on a course on Natural Language Processing taught by the author at IMT Atlantique for over a decade, this textbook considers three points of view corresponding to three different disciplines, while granting equal importance to each of them. As such, the book provides a thorough introduction to the topic following three main threads: the fundamental notions of Linguistics, symbolic Artificial Intelligence methods (based on knowledge representation languages), and statistical methods (involving both legacy machine learning and deep learning tools). Complementary to this introductory text is teaching material, such as exercises and labs with hints and expected results. Complete solutions with Python code are provided for educators on the SpringerLink webpage of the book. This material can serve for classes given to undergraduate and graduate students, or for researchers, instructors, and professionals in computer science or linguistics who wish to acquire or improve their knowledge in the field. The book is suitable and warmly recommended for self-study

     
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    ISBN: 9783031272257
    Schlagworte: COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: xvii, 534 Seiten, Illustrationen, Diagramme
  21. Symbols
    an evolutionary history from the Stone Age to the future
    Autor*in: Sproat, Richard William
    Erschienen: 2023
    Verlag:  Springer, Cham, Switzerland

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds... mehr

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    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems -- systems that are not tied to spoken language -- and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex "messages" if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were "dictated", thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical "evidence" for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems. Richard Sproat is a Research Scientist at Google working on Deep Learning. He has a long-standing interest in writing systems and other graphical symbol systems

     
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    Quelle: Staatsbibliothek zu Berlin
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783031268090; 3031268091
    Schlagworte: Signs and symbols; COM094000; COMPUTERS / Computer Science; COMPUTERS / Computer Simulation; COMPUTERS / Natural Language Processing; Computational linguistics; Computer modelling & simulation; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Computermodellierung und -simulation; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Social research & statistics
    Umfang: 1 Online-Ressource (xiii, 235 pages), Illustrationen
    Bemerkung(en):

    Includes bibliographical references and index

    1. Introduction -- 2. Semiotics -- 3. Taxonomy -- 4. Writing Systems -- 5. Symbols in the Brain -- 6. The Evolution of Writing -- 7. Simulations -- 8. Misrepresentations -- 9. The Future.
  22. Corpora and Translation Education
    Advances and Challenges
    Beteiligt: Laviosa, Sara (HerausgeberIn); Pan, Jun (HerausgeberIn)
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based translation studies, their relationship with machine learning and post-editing, recent advances in learner... mehr

     

    This edited book covers a range of topics related to the use of corpora in translation education, including their standing in corpus-based translation studies, their relationship with machine learning and post-editing, recent advances in learner corpora development and the integration of corpora into translation pedagogy. The book draws the reader into the latest debate on the potential benefits and challenges of using corpora in translation education, as well as serving as practical guidance on how to incorporate corpora into their teaching practice. The book is of particular interest to translation educators, researchers, and postgraduate students who are interested in exploring theoretical underpinnings as well as new ways of teaching and learning translation

     
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    Quelle: Verbundkataloge
    Beteiligt: Laviosa, Sara (HerausgeberIn); Pan, Jun (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789819965885
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: New Frontiers in Translation Studies
    Schlagworte: COM094000; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; LANGUAGE ARTS & DISCIPLINES / Translating & Interpreting; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Translation & interpretation; Übersetzen und Dolmetschen
    Umfang: 200 Seiten
    Bemerkung(en):

    1. Introduction Jun Pan and Sara Laviosa Part I Overview 2. Corpora and Translator Education: Past, Present and Future Sara Laviosa and Gaetano Falco Part II Corpora, Machine Learning and Post-editing 3. Applying Incremental Learning to Post-Editing Systems: Towards Online Adaptation for Automatic Post-Editing Models Marie Escribe and Ruslan Mitkov 4. Integrating Trados-Qualitivity Data to the CRITT TPR-DB: Measuring Post-Editing Longhui Zou, Michael Carl and Devin Gilbert Part III Corpora and Translation Teaching 5. Creating and Using "Virtual Corpora" to Extract and Analyse Domain-Specific Vocabulary at English-Corpora.org Mark Davies 6. Working with Corpora in Translation Technology Teaching: Enhancing Aspects of Course Design Mark Shuttleworth 7. How do Students Perform and Perceive Parallel Corpus Use in Translation Tasks? Evidence from an Experimental Study Kanglong Liu, Yanfang Su and Dechao Li Part IV Learner Corpora 8. Data Acquisition and other Technical Challenges in Learner Corpora and Translation Learner Corpora Adam Obrusnik 9. Investigating the Chinese and English Language Proficiency of Tertiary Students in Hong Kong: Insights from a Student Translation Corpus Jun Pan, Billy Tak Ming Wong and Honghua Wang
  23. Machine Translation and Foreign Language Learning
    Autor*in: Tekwa, Kizito
    Erschienen: 2024
    Verlag:  Springer Verlag, Singapore, Singapore

    The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of... mehr

     

    The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers

     
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    Medientyp: Buch (Monographie)
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    ISBN: 9789819986019
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: New Frontiers in Translation Studies
    Schlagworte: COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Fremdsprachenerwerb, Fremdsprachendidaktik: zweite oder zusätzliche Sprachen; LAN009040; LANGUAGE ARTS & DISCIPLINES / Study & Teaching; LANGUAGE ARTS & DISCIPLINES / Translating & Interpreting; Language acquisition; Language teaching theory & methods; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Spracherwerb; Translation & interpretation; Übersetzen und Dolmetschen
    Umfang: 181 Seiten
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    Introduction1Theoretical grounding of the research2Research question3Hypotheses and assumptions4General methods5Scope6Contribution to knowledge7Thesis structureChapter1: Literature review1.1Introduction 1.1.1Computer-mediated communication (CMC)1.1.2 Machine translation (MT)1.1.3 Instant messaging1.1.4 English as a foreign language1.1.5 Foreign language willingness to communicate (FL WTC)Opportunities to communicate in a foreign language (FL OTC)29 1.2 Understanding1.2.1 Profile of IMusers1.2.2 IM language1.2.3 IM and FL learning.1.3 MT, IM, and translation1.3.1 Advantages, uses and challenges of MT1.3.2 Real-time machine-translatedviii 1.3.3 An overview of some IM translationclients1.3.4Wechat.1.3.5 QQ International1.3.6 Skype Translator1.3.7 Lringo1.3.8 Chatlingual1.3.9 VoxOx1.3.10 Sendboo1.4 IM and translators1.5 IM translation and translation studies..1.5.1 IM translation and translator training .1.5.2 IM and translationethics.1.6 The future of IM translation1.7ConclusionChapter 2Methodology.2.1 Application choice2.1.1 Compatibility of the IM toolâParticipant selection2.3 General framework for gathering data2.3.1 Questionnaire development and administration2.3.2 Data collection2.3.3 Pairing2.3.4 Introductory meeting andquestionnaires.2.3.5 Exchanges.2.3.6 Discussion topics andthemes2.4 Data analysis2.4.1 Analysis of data to determine FLWTC.2.4.2 McCroskey s WTCscale.2.4.3 Initial and finalquestionnaires.2.4.4 Analysis of data to determine FLOTC.2.4.5 Number of words and turns:.2.4.6 Incoming message translation and usefulness of the IM translator:2.4.7 Conversationenhancement:ix 2.4.8 Synchronousexchanges:..2.4.9 Ownership2.4.10 Clarification questions, paraphrases, and requests for explanation:2.5 Limitations of the methodology2.6 ConclusionChapter3Analysis of data.110 3.1 Findings with regard to WTC perception.3.1.1 Finding 1: Increased WTC level for participants with IM translationoption.3.1.2 Finding 2: Overall increase in individual WTC score3.1.3 Finding 3: WTC level, WTC score and IM dataexchanged.3.1.4 Finding 4: Delayed communication for participants without the IMtranslator3.2 Findings with regard to OTC3.2.1 Finding 1: Participants believe the IM tool enhancedcommunication3.2.2 Finding 2: Number of words and turns exchanged.3.2.3 Finding 3: Outgoing messages translated3.2.4 Finding 4: Conversation ownership during synchronousexchanges3.2.5 Finding 5:Conversation enhancement.3.2.6 Finding 6: Pre-selected topics/tasks..3.2.7 Finding 7: Synchronous exchanges3.2.8 Finding 8: Repetition, paraphrase and explanation3.2.9 Finding 9: Participants use of the IM translation option3.3 Conclusion.Chapter4ïDiscussion and implications4.1 Implications of the findings for the conceptual framing for WTC4.1.1 Perception versus reality4.1.2 Revisiting the definition of WTC4.1.3 Different parameters for measuring WTC4.2 Implications of the findings for FL pedagogy4.2.1 MT and IM use in the FL learning environment.4.2.2 Recycling learner-generated data for pedagogical purposes.4.2.3 Knowledge of learners profiles4.2.4 Possibility of exposure to a foreign culture4.3 Implications of the findings for translation studies4.3.1 The interdisciplinary nature of translation studies..4.3.2 Tools to use and contents to teach in the translation trainingenvironment4.3.3 Pre-editing the SL input andtraining students to write for MT4.3.4 Collaboration.4.3.5 Translation quality4.3.6 MT post-editing...4.4 ConclusionChapter 5: Conclusion.193 5.1 Summary of t
  24. Ontology of Communication
    Agent-Based Data-Driven or Sign-Based Substitution-Driven?
    Autor*in: Hausser, Roland
    Erschienen: 2024
    Verlag:  Springer International Publishing AG, Cham

    The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by... mehr

     

    The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by cognition-internal content (input) resulting in cognition-external raw data (e.g. sound waves or pixels, which have no meaning or grammatical properties but can be measured by natural science), and hear mode, driven by the raw data produced by the speaker resulting in cognition-internal content. The motivation is to compare two approaches for an ontology of communication: agent-based data-driven vs. sign-based substitution-driven. Agent-based means: design of a cognitive agent with (i) an interface component for converting raw data into cognitive content (recognition) and converting cognitive content into raw data (action), (ii) an on-board, content-addressable memory (database) for the storage and content retrieval, (iii) separate treatments of the speak and the hear mode. Data-driven means: (a) mapping a cognitive content as input to the speak-mode into a language-dependent surface as output, (b) mapping a surface as input to the hear-mode into a cognitive content as output. Oppositely, sign-based means: no distinction between speak and hear mode, whereas substitution-driven means: using a single start symbol as input for generating infinitely many outputs, based on substitutions by rewrite rules. Collecting recent research of the author, this beautiful, novel and original exposition begins with an introduction to DBS, makes a linguistic detour on subject/predicate gapping and slot-filler repetition, and moves on to discuss computational pragmatics, inference and cognition, grammatical disambiguation and other related topics. The book is mostly addressed to experts working in the field of computational linguistics, as well as to enthusiasts interested in the history and early development of this subject, starting with the pre-computational foundations of theoretical computer science and symbolic logic in the 30s

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    ISBN: 9783031227417
    Auflage/Ausgabe: 1st ed. 2023
    Schlagworte: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 258 Seiten
    Bemerkung(en):

    1. Introduction1.1 Ontology1.2 Computational Cognition1.3 Agent-Based Data-Driven vs. Sign-Based Substitution-Driven1.4 Reconciling the Hierarchical and the Linear1.5 Speak Mode Converts Hierarchy into Linear Surface1.6 Hear Mode Re-Converts Linear Input into Hierarchical Output1.7 Derivation Order1.8 Type Transparency1.9 Four Kinds of Type-Token Relations1.10 Conclusion2. Laboratory Set-up of Database Semantics2.1 Early Times2.2 Study of the Language Signs2.3 Using Successful Communication for the Laboratory Set-Up2.4 From Operational Implementation to Declarative Specification2.5 Formal Fragments of Natural Language2.6 Incremental Upscaling Cycles2.7 Conclusion3. Outline of DBS3.1 Building Content in the Agent s Hear Mode3.2 Storage and Retrieval of Content in the On-Board Memory3.3 Speak Mode Riding Piggyback on the Think Mode3.4 Component Structure of Cognition3.5 Sensory Media, Processing Media, and Their Modalities3.6 Reference as a Purely Cognitive Process3.7 Grounding3.8 Conclusion4. Software Mechanisms of the Content Kinds4.1 Apparent Terminological Redundancy4.2 Restriction of Figurative Use to Concepts4.3 Additional Constraint on Figurative Use4.4 Declarative Specification Of Concepts for Recognition4.5 Declarative Specification of Concepts for Action4.6 Indirect Grounding of Indexicals and Names4.7 Conclusion5. Comparison of Coordination and Gapping5.1 Coordination of Elementary Adnominals5.2 Coordination of Phrasal Adnominal Modifiers5.3 Coordination of Phrasal Adverbial Modifiers5.4 Coordination of Elementary Nouns as Subject5.5 Intra- and Extrapropositional Verb Coordination5.6 Extrasentential Coordination5.7 Quasi Coordination in Subject Gapping5.8 Quasi Coordination in Predicate Gapping5.9 Quasi Coordination in Object Gapping5.10 Conclusion6. Are Iterating Slot-Filler Structures Universal?6.1 Language and Thought6.2 Slot-Filler Iteration6.3 Marked Slot-Filler Repetition in Infinitives6.4 Marked Slot-Filler Repetition in Object Clauses6.5 Marked Slot-Filler Repetition in Adnominal Clauses6.6 Unmarked Slot-Filler Iteration in Gapping Constructions6.7 Long-Distance Dependency6.8 Conclusion7. Computational Pragmatics7.1 Four Kinds of Content in DBS7.2 Coactivation Resulting in Resonating Content7.3 Literal Pragmatics of Adjusting Perspective7.4 Nonliteral Pragmatics of Syntactic Mood Adaptation7.5 Nonliteral Pragmatics of Figurative Use7.6 Conclusion8. Discontinuous Structures in DBS and PSG8.1 The Time-Linear Structure of Natural Language8.2 Constituent Structure Paradox of PSG8.3 Suspension in Database Semantics8.4 Discontinuity with and without Suspension in DBS8.5 Conclusion9. Classical Syllogisms as Computational Inferences9.1 Logical vs. Common Sense Reasoning9.2 Categorical Syllogisms9.3 Modus Ponendo Ponens9.4 Modus Tollendo Tollens9.5 Modi BARBARA and CELARENT9.6 Modi DARII and FERIO9.7 Modi BAROCO and BOCARDO9.8 Combining S- and C-Inferencing9.9 Analogy9.10 Conclusion10. Grounding of Concepts in Science10.1 The Place of Concepts in a Content10.2 Definition of Concepts at the Elementary, Phrasal, or Clausal Level?10.3 Extending a Concept to its Class10.4 Language Communication10.5 Combining Concepts into Content10.6 Language Surfaces and Meaning_1 Concepts in Communication10.7 Extero- and Interoception10.8 Emotion10.9 Conclusion11. Function Words11.1 Introduction11.2 Interpreting Determiner Noun Combination in Hear Mode11.3 Producing Dete
  25. Representation Learning for Natural Language Processing
    Beteiligt: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Erschienen: 2023
    Verlag:  Springer Verlag, Singapore, Singapore

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts.... mehr

     

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book

     
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    Cover (lizenzpflichtig)
    Quelle: Verbundkataloge
    Beteiligt: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789819915996
    Auflage/Ausgabe: 2nd ed. 2024
    Schlagworte: COMPUTERS / Database Management / Data Mining; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Data Mining; Data mining; Expert systems / knowledge-based systems; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: 521 Seiten
    Bemerkung(en):

    Chapter 1. Representation Learning and NLP.- Chapter 2. Word Representation.- Chapter 3. Compositional Semantics.- Chapter 4. Sentence Representation.- Chapter 5. Document Representation.- Chapter 6. Sememe Knowledge Representation.- Chapter 7. World Knowledge Representation.- Chapter 8. Network Representation.- Chapter 9. Cross-Modal Representation.- Chapter 10. Resources.- Chapter 11. Outlook.