Skip to main navigation Skip to main content
info(at)avldigital.remove-this.de
Deutsch English
Last searches

Results for *

Displaying results 1 to 25 of 45.

  1. Music, Mathematics and Language
    The New Horizon of Computational Musicology Opened by Information Science
    Author: Hirata, Keiji; Hamanaka, Masatoshi; Tojo, Satoshi
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    Location:
    Max-Planck-Institut für empirische Ästhetik, Bibliothek
    Signature:
    bestellt
    Inter-library loan:
    No inter-library loan
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
  2. Translation tools and technologies
    Author: Rothwell, Andrew; Moorkens, Joss; Fernández-Parra, María; Drugan, Joanna; Austermühl, Frank
    Published: 2023
    Publisher:  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... more

     

    "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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
  3. Machine translation and foreign language learning
    Author: Tekwa, Kizito
    Published: [2023]
    Publisher:  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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
  4. Translation tools and technologies
    Author: Rothwell, Andrew; Drugan, Joanna; Moorkens, Joss; Fernández-Parra, María; Austermühl, Frank
    Published: 2023
    Publisher:  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... more

     

    "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

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9780367750336; 9780367750329
    Series: Routledge introductions to translation and interpreting
    Subjects: 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
    Scope: xxii, 247 Seiten, Illustrationen
    Notes:

    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.
  5. Ontology of Communication
    Agent-Based Data-Driven or Sign-Based Substitution-Driven?
    Author: Hausser, Roland
    Published: 2023
    Publisher:  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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031227387
    Edition: 1st ed. 2023
    Subjects: 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
    Scope: 258 Seiten
    Notes:

    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
  6. Music, Mathematics and Language
    The New Horizon of Computational Musicology Opened by Information Science
    Author: Hirata, Keiji; Hamanaka, Masatoshi; Tojo, Satoshi
    Published: 2022
    Publisher:  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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811951657
    Edition: 1st ed. 2022
    Subjects: 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
    Scope: 257 Seiten
    Notes:

    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.
  7. Vector Semantics
    Author: Kornai, Andras
    Published: 2023
    Publisher:  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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811956065
    Edition: 1st ed. 2023
    Series: Cognitive Technologies
    Subjects: 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
    Scope: 273 Seiten
    Notes:

    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 ....................................
  8. Vector Semantics
    Author: Kornai, Andras
    Published: 2023
    Publisher:  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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811956096
    Edition: 1st ed. 2023
    Series: Cognitive Technologies
    Subjects: 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
    Scope: 273 Seiten
    Notes:

    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 ....................................
  9. Current Issues in Descriptive Linguistics and Digital Humanities
    A Festschrift in Honor of Professor Eno-Abasi Essien Urua
    Contributor: Ekpenyong, Moses Effiong (HerausgeberIn); Udoh, Imelda Icheji (HerausgeberIn)
    Published: 2023
    Publisher:  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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Union catalogues
    Contributor: Ekpenyong, Moses Effiong (HerausgeberIn); Udoh, Imelda Icheji (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811929311
    Edition: 1st ed. 2022
    Subjects: 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
    Scope: 719 Seiten
    Notes:

    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.
  10. Translation tools and technologies
    Author: Rothwell, Andrew; Moorkens, Joss; Fernández-Parra, María; Drugan, Joanna; Austermühl, Frank
    Published: 2023
    Publisher:  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... more

    Access:
    Resolving-System (lizenzpflichtig)

    Location:
    Staats- und Universitätsbibliothek Bremen
    Inter-library loan:
    No inter-library loan

     

    "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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
  11. Logic and algorithms in computational linguistics 2021 (LACompLing2021)
    Contributor: Loukanova, Roussanka (HerausgeberIn); Lumsdaine, Peter LeFanu (HerausgeberIn); Muskens, Reinhard (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    This book assesses the place of logic, mathematics, and computer science in present day, interdisciplinary areas of computational linguistics. Computational linguistics studies natural language in its various manifestations from a computational point... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RS 5317(1081)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

     

    This book assesses the place of logic, mathematics, and computer science in present day, interdisciplinary areas of computational linguistics. Computational linguistics studies natural language in its various manifestations from a computational point of view, both on the theoretical level (modeling grammar modules dealing with natural language form and meaning and the relation between these two) and on the practical level (developing applications for language and speech technology). It is a collection of chapters presenting new and future research. The book focuses mainly on logical approaches to computational processing of natural language and on the applicability of methods and techniques from the study of formal languages, programming, and other specification languages. It presents work from other approaches to linguistics, as well, especially because they inspire new work and approaches

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Loukanova, Roussanka (HerausgeberIn); Lumsdaine, Peter LeFanu (HerausgeberIn); Muskens, Reinhard (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031217791
    Corporations / Congresses: LACompLing (2021, Online)
    Series: Studies in Computational Intelligence ; volume 1081
    Subjects: COMPUTERS / Data Processing / Speech & Audio Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; LANGUAGE ARTS & DISCIPLINES / Linguistics; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: viii, 347 Seiten, Diagramme
    Notes:

    Literaturangaben

    Complexity of the Lambek Calculus and Its Extensions.- Categorial Dependency Grammars: Analysis and Learning.- Diamonds are Forever.- A Hybrid Approach of Distributional Semantics and Event Semantics for Telicity.- Generalized Computable Models and Montague Semantics.- Multilingual Text Generation for Abstract Wikipedia in Grammatical Framework: Prospects and Challenges.- Decomposing Events into GOLOG.- Generating Pragmatically Appropriate Sentences from Logic: the Case of the Conditional and Biconditional.- White Roses, Red Backgrounds: Bringing Structured Representations to Search.- Rules Are Rules: Rhetorical Figures and Algorithms.- Integrating Deep Neural Networks with Dependent Type Semantics.- Meaning-Driven Selectional Restrictions.- A Unified Cluster of Valence Resources.
  12. Symbols
    an evolutionary history from the Stone Age to the future
    Author: Sproat, Richard William
    Published: 2023
    Publisher:  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... more

    Access:
    Aggregator (lizenzpflichtig)

    Location:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Potsdamer Straße
    Inter-library loan:
    No inter-library loan

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031268090; 3031268091
    Subjects: 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
    Scope: 1 Online-Ressource (xiii, 235 pages), Illustrationen
    Notes:

    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.
  13. NLP Application
    Natural Language Questions and SQL using Computational Linguistics
    Author: Kedwan, Ftoon
    Published: 2023
    Publisher:  Taylor & Francis Ltd, London

    Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement more

     

    Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781032538358
    Subjects: Applied linguistics for ELT; Artificial intelligence; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; COMPUTERS / Programming Languages / General; Computational linguistics; Computerlinguistik und Korpuslinguistik; Fremdsprachendidaktik: Theorie und Methoden; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Etymology; LANGUAGE ARTS & DISCIPLINES / Linguistics; LANGUAGE ARTS & DISCIPLINES / Semantics; Literatur: Geschichte und Kritik; Literature: history & criticism; Programmier- und Skriptsprachen, allgemein; Programming & scripting languages: general; Software Engineering; Software Engineering
    Scope: 166 Seiten
    Notes:

    Interessenniveau: 4LE, Für ELT / ESL-Lernen, Kurse, Prüfungen und Zertifikate

    Preface. 1 Introduction. 2 Background Study. 3 Literature Review. 4 Implementation Plan. 5 Implementation User Case Scenario. 6 Implementation Testing and Performance Measurements. 7 Implementation Results Discussion. 8 Conclusion and Future Work. Appendix 1. Appendix 2. Appendix 3. Appendix 4. Appendix 5. Appendix 6. Appendix 7. Appendix 8. Appendix 9. Glossary. References. Index.
  14. Building and using comparable corpora for multilingual Natural language processing
    Author: Sharoff, Serge; Rapp, Reinhard; Zweigenbaum, Pierre
    Published: [2023]
    Publisher:  Springer International Publishing AG, Cham

    Intro -- Contents -- About the Authors -- 1 Introduction -- 1.1 Rationale for Working with Comparable Corpora -- 1.1.1 Availability of Truly Parallel Data -- 1.1.2 Translationese in Parallel Data -- 1.2 Levels of Comparability -- 1.3 Methodology for... more

    Access:
    Aggregator (lizenzpflichtig)

    Location:
    Universitätsbibliothek Leipzig
    Inter-library loan:
    No inter-library loan

     

    Intro -- Contents -- About the Authors -- 1 Introduction -- 1.1 Rationale for Working with Comparable Corpora -- 1.1.1 Availability of Truly Parallel Data -- 1.1.2 Translationese in Parallel Data -- 1.2 Levels of Comparability -- 1.3 Methodology for Dealing with Comparable Resources -- 2 Basic Principles of Cross-Lingual Models -- [DELETE] -- 2.1 Monolingual VSMs -- 2.2 Cross-Lingual VSMs -- 2.3 Contextual Embeddings -- 3 Building Comparable Corpora -- [DELETE] -- 3.1 Measures for Document Similarity Across Languages -- 3.2 Evaluation Methods and Datasets -- 3.3 Natural Annotation: Building Strongly Comparable Corpora -- 3.4 Low-Hanging Fruit: Building Weakly Comparable Corpora -- 3.5 Large Scale Document Alignment -- 3.5.1 Structural Similarity -- 3.5.2 Lexical Similarity -- 3.6 Comparable Corpora of Unrelated Documents -- 4 Extraction of Parallel Sentences -- [DELETE] -- 4.1 Extraction from Parallel Corpora -- 4.2 Assessing Cross-Lingual Sentence Similarity -- 4.3 Datasets and Evaluation -- 4.4 General Principles -- 4.5 Pre-neural Methods -- 4.6 Supervised Neural Methods -- 4.7 Limitations of Supervised Methods in Low-Resource Settings -- 4.8 Unsupervised Neural Methods -- 5 Induction of Bilingual Dictionaries -- 5.1 Setting the Task -- 5.2 Bilingual Lexicon Induction From Parallel Corpora -- 5.3 Matching Contexts -- 5.4 Geometric Properties of Word Embedding Spaces -- 5.5 Alignment of Word Embeddings -- 5.6 Alignment of Contextual Embeddings -- 5.7 Evaluation -- 5.7.1 Evaluation Experiments for BLI -- 5.7.2 Evaluation on Multilingual Termbanks -- 5.8 The BUCC 2020 Shared Task on Bilingual Dictionary Induction -- 5.8.1 Resources -- 5.8.2 Evaluation -- 5.9 The BUCC 2022 Shared Task on Bilingual Terminology Extraction -- 5.9.1 Specifications of the Task -- 5.9.2 Shared Task Results -- 6 Comparable and Parallel Corpora for Machine Translation.

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031313844
    Series: Synthesis lectures on human language technologies series
    Subjects: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 1 Online-Ressource (viii, 133 Seiten)
    Notes:

    Description based on publisher supplied metadata and other sources
  15. Representation Learning for Natural Language Processing
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Published: 2023
    Publisher:  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.... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819915996
    Edition: 2nd ed. 2024
    Subjects: 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
    Scope: 521 Seiten
    Notes:

    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.
  16. Representation Learning for Natural Language Processing
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Published: 2023
    Publisher:  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.... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819916023
    Edition: 2nd ed. 2024
    Subjects: 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
    Scope: 521 Seiten
    Notes:

    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.
  17. Building and using comparable corpora for multilingual natural language processing
    Author: Sharoff, Serge; Rapp, Reinhard; Zweigenbaum, Pierre
    Published: [2023]
    Publisher:  Springer, Cham, Switzerland

    This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with... more

    Location:
    Universitätsbibliothek Stuttgart
    Inter-library loan:
    No inter-library loan

     

    This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031313837
    Series: Synthesis lectures on human language technologies
    Subjects: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: viii, 133 Seiten, Illustrationen, Diagramme
    Notes:

    Chapter 1 Introduction.- Chapter 2 Basic principles of cross-lingual models.- Chapter 3 Building comparable corpora.- Chapter 4 Extraction of parallel sentences.- Chapter 5 Induction of bilingual Dictionaries.- Chapter 6 Comparable and Parallel Corpora for Machine Translation.- Chapter 7 Other applications of comparable corpora.- Chapter 8 Conclusions and future research.- Index.
  18. Shakespeare s Queer Analytics
    Distant Reading and Collaborative Intimacy in 'Love s Martyr'
    Author: Rodrigues, Don
    Published: 2023
    Publisher:  Bloomsbury Publishing Plc, London

    What led Shakespeare to write his most cryptic poem, The Phoenix and Turtle ? Could the Phoenix represent Queen Elizabeth, on the verge of death as Shakespeare wrote? Is the Earl of Essex, recently executed for treason, the Turtledove lover of the... more

     

    What led Shakespeare to write his most cryptic poem, The Phoenix and Turtle ? Could the Phoenix represent Queen Elizabeth, on the verge of death as Shakespeare wrote? Is the Earl of Essex, recently executed for treason, the Turtledove lover of the Phoenix? Questions such as these dominate scholarship of both Shakespeare s poem and the book in which it first appeared: Robert Chester s enigmatic collection of verse, Love s Martyr (1601), where Shakespeare s allegory sits next to erotic love lyrics by Ben Jonson, George Chapman and John Marston, as well as work by the much lesser-known Chester. Don Rodrigues critiques and revises traditional computational attribution studies by integrating the insights of queer theory to a study of Love's Martyr. A book deeply engaged in current debates in computational literary studies, it is particularly attuned to questions of non-normativity, deviation and departures from style when assessing stylistic patterns. Gathering insights from decades of computational and traditional analyses, it presents, most radically, data that supports the once-outlandish theory that Shakespeare may have had a significant hand in editing works signed by Chester. At the same time, this book insists on the fundamentally collaborative nature of production in Love s Martyr. Developing a compelling account of how collaborative textual production could work among early modern writers, Shakespeare s Queer Analytics is a much-needed methodological intervention in computational attribution studies. It articulates what Rodrigues describes as queer analytics : an approach to literary analysis that joins the non-normative close reading of queer theory to the distant attention of computational literary studies - highlighting patterns that traditional readings often overlook or ignore

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781350288690
    Series: Arden Shakespeare Studies in Language and Digital Methodologies
    Subjects: Computational linguistics; Computerlinguistik und Korpuslinguistik; Englisch; LANGUAGE ARTS & DISCIPLINES / Semantics; LIT019000; LITERARY CRITICISM / Shakespeare; Literaturwissenschaft: 1600 bis 1800; Literaturwissenschaft: Dramen und Dramatiker; Shakespeare studies & criticism
    Scope: 296 Seiten
    Notes:

    Zielgruppe: 5PX-GB-S, Shakespeare

    List of Plates, Figures, and TablesSeries Editors' Preface Preface Acknowledgements Note on Text Introduction: Love s Martyr and the Case for Queer Analytics Queering Computation1. Queerness at Scale: The Radical Singularities of Love s Martyr 2. Competitive Intimacies in the Poetical Essays Computing Queerness 3. Neither two nor one were called : Queer Logic and The Phoenix and Turtle Appendixeswith Jonathan Hicks 1. Technical Appendix 2. Love s Martyr s Poetical Essays 3. Love s Martyr s Dialogues and Cantos Bibliography Notes Index
  19. Symbols
    An Evolutionary History from the Stone Age to the Future
    Author: Sproat, Richard
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    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... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031268083
    Edition: 1st ed. 2023
    Subjects: 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
    Scope: 319 Seiten
    Notes:

    Preface1 Introduction 1.1 What s in a Symbol? 1.2 Syntax 1.3 What this book is about2 Semiotics 2.1 Introduction 2.2 The Field of Semiotics 2.3 Iconicity 2.4 Syntax 2.5 Articulation3 Taxonomy 3.1 Introduction 3.2 History 3.3 Preliminary Taxonomy 3.4 Examples of systems 3.5 Kamon/Heraldry 3.5.1 Kamon 3.5.2 British heraldry 3.5.3 Structural Differences: Summary 3.A Symbol system survey (A detailed analysis of 26 symbol systems) 3.B Statistics of kamon4 Writing Systems 4.1 Introduction 4.2 Writing 4.2.1 Preliminaries 4.2.2 Types of Writing Systems 4.2.3 Blissymbolics 4.3 Limitations of writing 4.3.1 Inclusiveness 4.3.2 Graphocentrism 4.3.3 Summary 4.4 Writing: A summary5 Symbols in the Brain 5.1 Brain areas 5.2 Meaning in the brain 5.3 Reading in the brain 5.3.1 The letterbox 5.3.2 Summary: the evolution of the letterbox 5.4 Non-linguistic symbols in the brain 5.5 A Hypothesis6 The Evolution of Writing 6.1 Evolution 6.2 A Hypothesis 6.3 Schools7 Simulations 7.1 Prior work 7.2 Simulation 7.2.1 Description of the model 7.2.2 Simulation of evolution 7.2.3 Summary and discussion 7.3 Pre-writing 7.4 Summary 7.A Details 7.A.1 Data Generation 7.A.2 Model 7.B Compounds 7.B.1 Monosyllabic cases 7.B.2 Sesquisyllabic cases 7.B.3 Disyllabic cases8 Misrepresentations 8.1 Introduction 8.2 What does it mean to say something "Looks like writing"? 8.3 Statistics 8.3.1 Statistical analysis of the Indus Valley inscriptions 8.3.2 More on structure in the Indus inscriptions 8.3.3 Variations of distributions of symbols 8.4 Summary9 The Future 9.1 The Dream of a Universal Written Language 9.2 Semasiography 9.3 The Prestige of Writing 9.4 Final Thoughts
  20. Generative AI
    How ChatGPT and Other AI Tools Will Revolutionize Business
    Author: Taulli, Tom
    Published: 2023
    Publisher:  Apress, CA

    This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. ... more

     

    This book will show how generative technology works and the drivers. It will also look at the applications - showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors. During the past decade, companies have spent billions on AI. But the focus has been on applying the technology to predictions - which is known as analytical AI. It can mean that you receive TikTok videos that you cannot resist. Or analytical AI can fend against spam or fraud or forecast when a package will be delivered. While such things are beneficial, there is much more to AI. The next megatrend will be leveraging the technology to be creative. For example, you could take a book and an AI model will turn it into a movie - at very little cost. This is all part of generative AI. It's still in the nascent stages but it is progressing quickly. Generative AI can already create engaging blog posts, social media messages, beautiful artwork and compelling videos. The potential for this technology is enormous. It will be useful for many categories like sales, marketing, legal, product design, code generation, and even pharmaceutical creation. What You Will Learn The importance of understanding generative AI The fundamentals of the technology, like the foundation and diffusion models How generative AI apps work How generative AI will impact various categories like the law, marketing/sales, gaming, product development, and code generation. The risks, downsides and challenges. Who This Book is For Professionals that do not have a technical background. Rather, the audience will be mostly those in Corporate America (such as managers) as well as people in tech startups, who will need an understanding of generative AI to evaluate the solutions

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781484293690
    Edition: 1st ed
    Subjects: Algorithms & data structures; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; COMPUTERS / Information Theory; Computational linguistics; Computerlinguistik und Korpuslinguistik; Datenbanken; 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
    Other subjects: AI Art; DeepMind Gopher; Deepfakes
    Scope: 208 Seiten
    Notes:

    Chapter 1: Introduction to Generative AI.- Chapter 2: Data.- Chapter 3: AI Fundamentals.- Chapter 4: Core Generative AI Technology.- Chapter 5: Large Language Models.- Chapter 6: Auto Code Generation.- Chapter 7: The Transformation of Business.- Chapter 8: The Impact on Major Businesses.- Chapter 9: The Future.
  21. Formal Analysis for Natural Language Processing: A Handbook
    Author: Feng, Zhiwei
    Published: 2023
    Publisher:  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.... more

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811651717
    Edition: 1st ed. 2023
    Subjects: 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
    Scope: 796 Seiten
    Notes:

    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
  22. Soziolinguistik trifft Korpuslinguistik
    Deutsch-polnische und deutsch-tschechische Zweisprachigkeit
    Contributor: Hansen, Björn (HerausgeberIn); Zielińska, Anna (HerausgeberIn)
    Published: 2022
    Publisher:  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... more

    Access:
    Resolving-System (lizenzpflichtig)

    Location:
    Badische Landesbibliothek
    Inter-library loan:
    No inter-library loan

     

    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.

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Contributor: Hansen, Björn (HerausgeberIn); Zielińska, Anna (HerausgeberIn)
    Language: German
    Media type: Ebook
    Format: Online
    ISBN: 9783825385910 10.33675/202282538591
    Other identifier:
    9783825385910
    Edition: 1. Auflage
    Series: Slavica. Monographien, Hand-, Lehr- und Wörterbücher ; 9
    Subjects: 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
    Scope: Illustrationen
  23. Chinese lexical semantics
    Part 1
    Contributor: Su, Qi (HerausgeberIn); Xu, Ge (HerausgeberIn); Yang, Xiaoyan (HerausgeberIn)
    Published: [2023]; © 2023
    Publisher:  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... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13495)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Su, Qi (HerausgeberIn); Xu, Ge (HerausgeberIn); Yang, Xiaoyan (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031289521
    Other identifier:
    Parent title: Chinese lexical semantics - Show all bands
    Series: Array ; 13495
    Subjects: COMPUTERS / Natural Language Processing; Chinese; Chinesisch; Computational linguistics; Computerlinguistik und Korpuslinguistik; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: xv, 569 Seiten, Diagramme
    Notes:

    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
  24. Computational linguistics and intelligent text processing
    Part 1
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  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... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13396)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031237928
    Parent title: Computational linguistics and intelligent text processing - Show all bands
    Corporations / Congresses: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Series: Lecture notes in computer science ; 13396
    Subjects: 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
    Scope: xviii, 431 Seiten, Illustrationen
    Notes:

    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.
  25. Computational linguistics and intelligent text processing
    Part 2
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  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... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13397)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Cover (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031238031
    Parent title: Computational linguistics and intelligent text processing - Show all bands
    Corporations / Congresses: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Series: Lecture notes in computer science ; 133397
    Subjects: 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
    Scope: xviii, 457 Seiten
    Notes:

    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.