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Record Nr. |
UNINA9910971011903321 |
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Autore |
Melcuk Igor A (Igor Aleksandrovic), <1932-> |
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Titolo |
Communicative organization in natural language : the semantic-communicative structure of sentences / / Igor Melcuk |
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Pubbl/distr/stampa |
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Amsterdam ; ; Philadelphia, : J. Benjamins, c2001 |
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ISBN |
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9786612160011 |
9781282160019 |
128216001X |
9789027294838 |
9027294836 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (408 p.) |
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Collana |
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Studies in language companion series, , 0165-7763 ; ; v. 57 |
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Disciplina |
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Soggetti |
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Grammar, Comparative and general - Sentences |
Semantics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. [366]-380) and indexes. |
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Nota di contenuto |
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Communicative Organization in Natural Language -- Editorial page -- Title page -- LCC data -- Contents -- Introduction: Six Basic Questions Answered -- Chapter I. General Characterization of the Semantic-Communicative Structure of Sentences -- Chapter II. Basic Categories of Semantic-Communicative Structure -- Chapter III. Sem-Comm-Oppositions: Linguistic Comments and Illustrations -- Bibliography -- Subject Index -- Name Index -- Language Index -- The STUDIES IN LANGUAGE COMPANION SERIES (SLCS). |
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Sommario/riassunto |
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The book defines the concept of Semantic-Communicative Structure [= Sem-CommS]-a formal object that is imposed on the starting Semantic Structure [= SemS] of a sentence (under text synthesis) in order to turn the selected meaning into a linguistic message. The Sem-CommS is a system of eight logically independent oppositions: 1. Thematicity (Rheme vs. Theme), 2. Givenness (Given vs. Old), 3. Focalization (Focalized vs. Non-Focalized), 4. Perspective (Foregrounded vs. Backgrounded), 5. Emphasis (Emphasized vs. Non-Emphasized), 6. Presupposedness (Presupposed vs. Non-Presupposed), 7. Unitariness (Unitary vs. Articulated), 8. Locutionality (Communicated vs. Signaled). |
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The values of these oppositions mark particular subnetworks of the starting SemS and thus allow for the distinction between sentences such as (a) A man killed a dog vs. The dog was killed by a man, (b) John washed the window vs. It was John who washed the window or (c) It hurts! vs. Ouch! The proposed Sem-Comm-oppositions are conceived as an attempt at sharpening the well-known notions of Topic ~ Comment, Focus, etc. Possible linguistic strategies for expressing the values of the Sem-Comm-oppositions in different languages are discussed at some length, with linguistic illustrations. |
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2. |
Record Nr. |
UNINA9911018661003321 |
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Autore |
Raju K. Srujan |
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Titolo |
Intelligent Computing and Communication : Proceedings of 7th ICICC 2024, Volume 1 / / edited by K. Srujan Raju, Roman Senkerik, T. Kishore Kumar, Mathini Sellathurai, Voruganti Naresh Kumar |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (678 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1240 |
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Altri autori (Persone) |
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SenkerikRoman |
KumarT. Kishore |
SellathuraiMathini |
Naresh KumarVoruganti |
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Disciplina |
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Soggetti |
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Computational intelligence |
Engineering - Data processing |
Artificial intelligence |
Computational Intelligence |
Data Engineering |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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MobileNet V2: Deep Learning Approach for Diabetic Retinal Image Classification -- Exploring Research Challenges and issues in Image Analysis for Sickle Cell Disease Detection -- Drug Recommendation |
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System Based On Patient Condition using Machine Learning Algorithms -- Data-Driven Decisions: Empowering E-Commerce with RFM and Machine Learning-Based Customer Segmentation -- Object Detection and Crime Investigation -- Optimized Computational Strategy for IoT Intrusion Detection Using Robust Deep Neural Networks -- Cattle Disease Prediction Using Machine Learning Algorithms. |
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Sommario/riassunto |
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This book features a collection of high-quality, peer-reviewed papers presented at the Seventh International Conference on Intelligent Computing and Communication (ICICC 2024) organized by CMR Technical Campus (CMRTC), Hyderabad, Telangana, India, on August 30–31, 2024. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to several problems in society, the environment, and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and health care. |
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