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Linguistische Datenverarbeitung und neue Medien / hrsg. von Winfried Lenders
| Linguistische Datenverarbeitung und neue Medien / hrsg. von Winfried Lenders |
| Pubbl/distr/stampa | Tübingen, : Narr, 1989 |
| Descrizione fisica | 133 p. ; 22 cm |
| Disciplina | 410.285 |
| Collana | Angewandte Linguistik |
| Soggetto non controllato | Linguistica computazionale |
| ISBN | 3-87808-767-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-990005855530403321 |
| Tübingen, : Narr, 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Linked data in linguistic : representing and connecting language data and language / Christian Chiarcos, Sbastian Nordhoff, Sebastian Hellmann
| Linked data in linguistic : representing and connecting language data and language / Christian Chiarcos, Sbastian Nordhoff, Sebastian Hellmann |
| Autore | CHIARCOS, Christian |
| Pubbl/distr/stampa | Berlin ; Heidelberg : Springer, 2012 |
| Descrizione fisica | XIV, 216 p. ; 24 cm |
| Disciplina | 410.285 |
| Altri autori (Persone) |
NOEDHOFF, Sebastian
HELLMANN, Sebastian |
| Soggetto topico | Linguistica - Impiego [dei] Linked data |
| ISBN | 978-3-642-28248-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990006134730203316 |
CHIARCOS, Christian
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| Berlin ; Heidelberg : Springer, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Literary & linguistic computing
| Literary & linguistic computing |
| Pubbl/distr/stampa | Oxford [England], : Oxford University Press |
| Disciplina | 410.285 |
| Soggetto topico |
Philology - Data processing
Computational linguistics Filologie Computers Enseignement des langues Informatique appliquée Linguistique Linguistique computationnelle Littérature Méthodologie Technologies de l'information |
| Soggetto genere / forma |
Internet resource
Periodicals. Périodique électronique (Descripteur de forme) Ressource Internet (Descripteur de forme) |
| ISSN | 1477-4615 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Journal of digital scholarship in the humanities
Literary and linguistic computing LLC |
| Record Nr. | UNISA-996221339303316 |
| Oxford [England], : Oxford University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Literary & linguistic computing
| Literary & linguistic computing |
| Pubbl/distr/stampa | Oxford [England], : Oxford University Press |
| Disciplina | 410.285 |
| Soggetto topico |
Philology - Data processing
Computational linguistics Filologie Computers Enseignement des langues Informatique appliquée Linguistique Linguistique computationnelle Littérature Méthodologie Technologies de l'information |
| Soggetto genere / forma |
Internet resource
Periodicals. Périodique électronique (Descripteur de forme) Ressource Internet (Descripteur de forme) |
| ISSN | 1477-4615 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Journal of digital scholarship in the humanities
Literary and linguistic computing LLC |
| Record Nr. | UNINA-9910338727703321 |
| Oxford [England], : Oxford University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Literary detective work on the computer / / Michael P. Oakes
| Literary detective work on the computer / / Michael P. Oakes |
| Autore | Oakes Michael P. |
| Pubbl/distr/stampa | Amsterdam (Netherlands) ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing Company, , 2014 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina | 410.285 |
| Collana | Natural Language Processing |
| Soggetto topico |
Computational linguistics - Research
Imitation in literature Plagiarism |
| Soggetto genere / forma | Electronic books. |
| ISBN | 90-272-7013-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Literary Detective Work on the Computer; Editorial page; Title page; LCC data; Table of contents; Preface; 1. Author identification; 1. Introduction; 2. Feature selection; 2.1 Evaluation of feature sets for authorship attribution; 3. Inter-textual distances; 3.1 Manhattan distance and Euclidean distance; 3.2 Labbé and Labbé's measure; 3.3 Chi-squared distance; 3.4 The cosine similarity measure; 3.6 Burrows' Delta; 3.5 Kullback-Leibler Divergence (KLD); 3.7 Evaluation of feature-based measures for inter-textual distance; 3.8 Inter-textual distance by semantic similarity
3.9 Stemmatology as a measure of inter-textual distance4. Clustering techniques; 4.1 Introduction to factor analysis; 4.2 Matrix algebra; 4.3 Use of matrix algebra for PCA; 4.4 PCA case studies; 4.5 Correspondence analysis; 5. Comparisons of classifiers; 6. Other tasks related to authorship; 6.1 Stylochronometry; 6.2 Affect dictionaries and psychological profiling; 6.3 Evaluation of author profiling; 7. Conclusion; 2. Plagiarism and spam filtering; 1. Introduction; 2. Plagiarism detection software; 2.1 Collusion and plagiarism, external and intrinsic 2.2 Preprocessing of corpora and feature extraction2.3 Sequence comparison and exact match; 2.4 Source-suspicious document similarity measures; 2.5 Fingerprinting; 2.6 Language models; 2.7 Natural Language Processing; 2.8 Intrinsic plagiarism detection; 2.9 Plagiarism of program code; 2.10 Distance between translated and original text; 2.11 Direction of plagiarism; 2.12 The search engine-based approach used at PAN-13; 2.13 Case study 1: Hidden influences from printed sources in the Gaelic tales; 2.14 Case study 2: General George Pickett and related writings; 2.15 Evaluation methods 2.16 Conclusion3. Spam filters; 3.1 Content-based techniques; 3.2 Building a labelled corpus for training; 3.3 Exact matching techniques; 3.4 Rule-based methods; 3.5 Machine learning; 3.5.1 Naïve Bayes; 3.5.2 Logistic regression; 3.5.3 Boosting; 3.6 Unsupervised machine learning approaches; 3.7 Other spam-filtering problems; 3.8 Evaluation of spam filters; 3.9 Non-linguistic techniques; 3.9.1 Safelists; 3.9.2 Human challenges; 3.9.3 Reputation analysis; 3.9.4 Networking considerations; 3.9.5 Web harvesting; 3.9.6 Payment and legislation; 3.10 Conclusion; 4. Recommendations for further reading 3. Computer studies of Shakespearean authorship1. Introduction; 2. Shakespeare, Wilkins and Pericles; 2.1 Correspondence analysis for ""Pericles"" and related texts; 3. Shakespeare, Fletcher and The Two Noble Kinsmen; 4. King John; 5. The Raigne of King Edward III; 5.1 Neural networks in stylometry; 5.2 Cusum charts in stylometry; 5.3 Burrows' Zeta and Iota; 6. Hand D in "Sir Thomas More"; 6.1 Elliott, Valenza and the Earl of Oxford; 6.2 Elliott and Valenza: Hand D; 6.3 Bayesian approach to questions of Shakespearian authorship; 6.4 Bayesian analysis of Shakespeare's second-person pronouns 6.5 Vocabulary differences, LDA and the authorship of Hand D |
| Record Nr. | UNINA-9910458564203321 |
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Oakes Michael P.
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| Amsterdam (Netherlands) ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing Company, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Literary detective work on the computer / / Michael P. Oakes
| Literary detective work on the computer / / Michael P. Oakes |
| Autore | Oakes Michael P. |
| Pubbl/distr/stampa | Amsterdam (Netherlands) ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing Company, , 2014 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina | 410.285 |
| Collana | Natural Language Processing |
| Soggetto topico |
Computational linguistics - Research
Imitation in literature Plagiarism |
| ISBN | 90-272-7013-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Literary Detective Work on the Computer; Editorial page; Title page; LCC data; Table of contents; Preface; 1. Author identification; 1. Introduction; 2. Feature selection; 2.1 Evaluation of feature sets for authorship attribution; 3. Inter-textual distances; 3.1 Manhattan distance and Euclidean distance; 3.2 Labbé and Labbé's measure; 3.3 Chi-squared distance; 3.4 The cosine similarity measure; 3.6 Burrows' Delta; 3.5 Kullback-Leibler Divergence (KLD); 3.7 Evaluation of feature-based measures for inter-textual distance; 3.8 Inter-textual distance by semantic similarity
3.9 Stemmatology as a measure of inter-textual distance4. Clustering techniques; 4.1 Introduction to factor analysis; 4.2 Matrix algebra; 4.3 Use of matrix algebra for PCA; 4.4 PCA case studies; 4.5 Correspondence analysis; 5. Comparisons of classifiers; 6. Other tasks related to authorship; 6.1 Stylochronometry; 6.2 Affect dictionaries and psychological profiling; 6.3 Evaluation of author profiling; 7. Conclusion; 2. Plagiarism and spam filtering; 1. Introduction; 2. Plagiarism detection software; 2.1 Collusion and plagiarism, external and intrinsic 2.2 Preprocessing of corpora and feature extraction2.3 Sequence comparison and exact match; 2.4 Source-suspicious document similarity measures; 2.5 Fingerprinting; 2.6 Language models; 2.7 Natural Language Processing; 2.8 Intrinsic plagiarism detection; 2.9 Plagiarism of program code; 2.10 Distance between translated and original text; 2.11 Direction of plagiarism; 2.12 The search engine-based approach used at PAN-13; 2.13 Case study 1: Hidden influences from printed sources in the Gaelic tales; 2.14 Case study 2: General George Pickett and related writings; 2.15 Evaluation methods 2.16 Conclusion3. Spam filters; 3.1 Content-based techniques; 3.2 Building a labelled corpus for training; 3.3 Exact matching techniques; 3.4 Rule-based methods; 3.5 Machine learning; 3.5.1 Naïve Bayes; 3.5.2 Logistic regression; 3.5.3 Boosting; 3.6 Unsupervised machine learning approaches; 3.7 Other spam-filtering problems; 3.8 Evaluation of spam filters; 3.9 Non-linguistic techniques; 3.9.1 Safelists; 3.9.2 Human challenges; 3.9.3 Reputation analysis; 3.9.4 Networking considerations; 3.9.5 Web harvesting; 3.9.6 Payment and legislation; 3.10 Conclusion; 4. Recommendations for further reading 3. Computer studies of Shakespearean authorship1. Introduction; 2. Shakespeare, Wilkins and Pericles; 2.1 Correspondence analysis for ""Pericles"" and related texts; 3. Shakespeare, Fletcher and The Two Noble Kinsmen; 4. King John; 5. The Raigne of King Edward III; 5.1 Neural networks in stylometry; 5.2 Cusum charts in stylometry; 5.3 Burrows' Zeta and Iota; 6. Hand D in "Sir Thomas More"; 6.1 Elliott, Valenza and the Earl of Oxford; 6.2 Elliott and Valenza: Hand D; 6.3 Bayesian approach to questions of Shakespearian authorship; 6.4 Bayesian analysis of Shakespeare's second-person pronouns 6.5 Vocabulary differences, LDA and the authorship of Hand D |
| Record Nr. | UNINA-9910790909603321 |
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Oakes Michael P.
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| Amsterdam (Netherlands) ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing Company, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Literary detective work on the computer / / Michael P. Oakes
| Literary detective work on the computer / / Michael P. Oakes |
| Autore | Oakes Michael P. |
| Pubbl/distr/stampa | Amsterdam (Netherlands) ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing Company, , 2014 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina | 410.285 |
| Collana | Natural Language Processing |
| Soggetto topico |
Computational linguistics - Research
Imitation in literature Plagiarism |
| ISBN | 90-272-7013-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Literary Detective Work on the Computer; Editorial page; Title page; LCC data; Table of contents; Preface; 1. Author identification; 1. Introduction; 2. Feature selection; 2.1 Evaluation of feature sets for authorship attribution; 3. Inter-textual distances; 3.1 Manhattan distance and Euclidean distance; 3.2 Labbé and Labbé's measure; 3.3 Chi-squared distance; 3.4 The cosine similarity measure; 3.6 Burrows' Delta; 3.5 Kullback-Leibler Divergence (KLD); 3.7 Evaluation of feature-based measures for inter-textual distance; 3.8 Inter-textual distance by semantic similarity
3.9 Stemmatology as a measure of inter-textual distance4. Clustering techniques; 4.1 Introduction to factor analysis; 4.2 Matrix algebra; 4.3 Use of matrix algebra for PCA; 4.4 PCA case studies; 4.5 Correspondence analysis; 5. Comparisons of classifiers; 6. Other tasks related to authorship; 6.1 Stylochronometry; 6.2 Affect dictionaries and psychological profiling; 6.3 Evaluation of author profiling; 7. Conclusion; 2. Plagiarism and spam filtering; 1. Introduction; 2. Plagiarism detection software; 2.1 Collusion and plagiarism, external and intrinsic 2.2 Preprocessing of corpora and feature extraction2.3 Sequence comparison and exact match; 2.4 Source-suspicious document similarity measures; 2.5 Fingerprinting; 2.6 Language models; 2.7 Natural Language Processing; 2.8 Intrinsic plagiarism detection; 2.9 Plagiarism of program code; 2.10 Distance between translated and original text; 2.11 Direction of plagiarism; 2.12 The search engine-based approach used at PAN-13; 2.13 Case study 1: Hidden influences from printed sources in the Gaelic tales; 2.14 Case study 2: General George Pickett and related writings; 2.15 Evaluation methods 2.16 Conclusion3. Spam filters; 3.1 Content-based techniques; 3.2 Building a labelled corpus for training; 3.3 Exact matching techniques; 3.4 Rule-based methods; 3.5 Machine learning; 3.5.1 Naïve Bayes; 3.5.2 Logistic regression; 3.5.3 Boosting; 3.6 Unsupervised machine learning approaches; 3.7 Other spam-filtering problems; 3.8 Evaluation of spam filters; 3.9 Non-linguistic techniques; 3.9.1 Safelists; 3.9.2 Human challenges; 3.9.3 Reputation analysis; 3.9.4 Networking considerations; 3.9.5 Web harvesting; 3.9.6 Payment and legislation; 3.10 Conclusion; 4. Recommendations for further reading 3. Computer studies of Shakespearean authorship1. Introduction; 2. Shakespeare, Wilkins and Pericles; 2.1 Correspondence analysis for ""Pericles"" and related texts; 3. Shakespeare, Fletcher and The Two Noble Kinsmen; 4. King John; 5. The Raigne of King Edward III; 5.1 Neural networks in stylometry; 5.2 Cusum charts in stylometry; 5.3 Burrows' Zeta and Iota; 6. Hand D in "Sir Thomas More"; 6.1 Elliott, Valenza and the Earl of Oxford; 6.2 Elliott and Valenza: Hand D; 6.3 Bayesian approach to questions of Shakespearian authorship; 6.4 Bayesian analysis of Shakespeare's second-person pronouns 6.5 Vocabulary differences, LDA and the authorship of Hand D |
| Record Nr. | UNINA-9910826746603321 |
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Oakes Michael P.
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| Amsterdam (Netherlands) ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing Company, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Literature, Language and Computing [[electronic resource] ] : Russian Contribution / / edited by Polina Eismont, Maria Khokhlova, Mikhail Koryshev, Elena Riekhakaynen
| Literature, Language and Computing [[electronic resource] ] : Russian Contribution / / edited by Polina Eismont, Maria Khokhlova, Mikhail Koryshev, Elena Riekhakaynen |
| Autore | Eismont Polina |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina | 410.285 |
| Altri autori (Persone) |
KhokhlovaMaria
KoryshevMikhail RiekhakaynenElena |
| Soggetto topico |
Computational linguistics
Linguistics—Methodology Translating and interpreting Applied linguistics Computational Linguistics Research Methods in Language and Linguistics Language Translation Applied Linguistics Lingüística computacional Lingüística aplicada |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-9936-04-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Literature, Language and Computing: Russian Contribution -- Chapter 2. Self-Repair in Russian Spoken Discourse in Psycholinguistics Aspect: Correlation Analysis and Quantitative Data -- Chapter 3. A Lexicographic Portrait of a Russian Microsyntactic Unit -- Chapter 4. “Plain and Natural” vs “Accurate and Unambiguous”: Pronominal Intrasentential Anaphora in Russian Legislative Texts -- Chapter 5. The Old Church Slavonic Corpora and Their Use in Language Studies at the University -- Chapter 6. Core coordination units in macro- and microdiachrony: experimental data -- Chapter 7. The Use of Futur Antérieur in the Past in Old French: Experience of a Corpus-Based Study -- Chapter 8. Nachhaltigkeit in media crisis discourse -- Chapter 9. Using Corpora for Verifying Language Choices in Translation -- Chapter 10. Stylometric Methods in Comparative Analysis of Text -- Chapter 11. Lexical Diversity of Russian Poets -- Chapter 12. A semantic corpus of Russian literature of 18 century: its current state and its future -- Chapter 13. Multimedia dictionary of verbal vocabulary: concept, structure, implementation -- Chapter 14. Incorporating informal e-learning into foreign language teaching through collaborative personalization -- Chapter 15. Pedagogical peer-to-peer online practice as a means of forming professional competence in distant learning format -- Chapter 16. To the East Slavonic proverbs of the thematic group “Learning - inattention” (as seen in the new Electronic dictionary of current active East Slavonic proverbs) -- Chapter 17. Opportunities of using Dental Internet resources in teaching the language of specialty in the course of Russian as a foreign language -- Chapter 18. Machine Translation vs Human Translation of Artionyms -- Chapter 19. The Emotion in Text Analyzer: How to Visualize its Output? -- Chapter 20. The Multimedia Corpus of Russian Ironic Speech for Phonetic Analysis -- Chapter 21. Theory of Mind and the Mechanism of Imagination for a Companion Robot. |
| Record Nr. | UNINA-9910734873703321 |
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Eismont Polina
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Logic and Algorithms in Computational Linguistics 2018 (LACompLing2018) [[electronic resource] /] / edited by Roussanka Loukanova
| Logic and Algorithms in Computational Linguistics 2018 (LACompLing2018) [[electronic resource] /] / edited by Roussanka Loukanova |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (IX, 205 p. 110 illus., 11 illus. in color.) |
| Disciplina | 410.285 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Natural language processing (Computer science) Computational linguistics Computational Intelligence Natural Language Processing (NLP) Computational Linguistics |
| ISBN | 3-030-30077-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Proof Irrelevance in Type-Theoretical Semantics -- Saving Hamlet Ellipsis -- Temporal Representations with and without Points -- From Tree Adjoining Grammars to Higher Order Representations of Abstract Meaning Representations via Abstract Categorial Grammars -- Measuring Linguistic Complexity: Introducing a New Categorial Metric -- On Categorial Grammatical Inference and Logical Information Systems -- A Scope-Taking System with Dependent Types and Continuations -- On the Coevolution of Language and Cognition – Gricean Intentions Meet Lewisian Conventions. |
| Record Nr. | UNINA-9910484899403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Logic, language, and computation : 6th international Tbilisi symposium on logic, language, and computation, TbiLLC 2005, Batumi, Georgia, September 12-16, 2005 : revised selected papers / / Balder D. ten Cate, Henk W. Zeevat (editors)
| Logic, language, and computation : 6th international Tbilisi symposium on logic, language, and computation, TbiLLC 2005, Batumi, Georgia, September 12-16, 2005 : revised selected papers / / Balder D. ten Cate, Henk W. Zeevat (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XII, 282 p.) |
| Disciplina | 410.285 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computational linguistics
Computer logic Programming languages (Electronic computers) - Semantics |
| ISBN | 3-540-75144-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Expressing Ignorance or Indifference -- The Main Devices of Foregrounding in the Information Structure of Georgian Sentences -- Focus and ‘Only’ in Hungarian -- Duals of Simple and Subdirectly Irreducible Distributive Modal Algebras -- Productivity, Polysemy, and Predicate Indexicality -- Argument Dependencies in Tukang Besi -- The Marking of Verb-Actant Relations in Georgian -- Uniform Interpolation, Bisimulation Quantifiers, and Fixed Points -- The Problem of Learning the Semantics of Quantifiers -- Towards a Cross-Linguistic Production Data Archive: Structure and Exploration -- Case Attraction in Ancient Greek -- Real World Multi-agent Systems: Information Sharing, Coordination and Planning -- Pros and Cons of a Type-Shifting Approach to Russian Genitive of Negation -- A Whether Forecast -- Participants in Action: The Interplay of Aspectual Meanings and Thematic Relations in the Semantics of Semitic Morphology -- Natural Logic for Natural Language -- Georgian as the Testing-Ground for Theories of Tense and Aspect -- Some Criteria of Decidability for Axiomatic Systems in Three-Valued Logic -- Doubling: The Semantic Driving Force Behind Functional Categories. |
| Record Nr. | UNINA-9910482960803321 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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