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1. |
Record Nr. |
UNINA9910457843203321 |
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Titolo |
Topics in African linguistics [[electronic resource] /] / edited by Salikoko S. Mufwene, Lioba Moshi ; with the assistance of Ben G. Blount and Deborah Schmidt |
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Pubbl/distr/stampa |
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Amsterdam ; ; Philadelphia, : J. Benjamins Pub. Co., 1993 |
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ISBN |
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1-283-31308-1 |
9786613313089 |
90-272-7710-9 |
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Descrizione fisica |
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1 online resource (317 p.) |
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Collana |
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Amsterdam studies in the theory and history of linguistic science. Series IV, Current issues in linguistic theory, , 0304-0763 ; ; v. 100 |
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Altri autori (Persone) |
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MufweneSalikoko S |
MoshiLioba J |
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Disciplina |
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Soggetti |
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African languages |
Electronic books. |
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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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Selection of papers presented at the 21st Conference on African Linguistics, held Apr. 12-14, 1990, University of Georgia. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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pt. 1. Morphosyntax -- pt. 2. Semantics -- pt. 3. Phonology -- pt. 4. Language contact. |
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Sommario/riassunto |
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The 16 papers in this volume are revised versions of papers presented at the conference; they represent the state of the art in various subfields of African linguistics into which the book is organized: (1) morphosyntax, (2) semantics, (3) phonology, and (4) language contact. The last part covers topics such as code-switching and mixing, pidginization/creolization, and language planning.The papers in Part I: Morphosyntax focus particularly on the verb and verb phrase in a variety of Niger-Congo languages, discussing several aspects of the verb morphology. The specific languages discusse |
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2. |
Record Nr. |
UNINA9910746087803321 |
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Titolo |
AI to Improve e-Governance and Eminence of Life : Kalyanathon 2020 / / edited by Somnath Mukhopadhyay, Sunita Sarkar, Jyotsna Kumar Mandal, Sudipta Roy |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (189 pages) |
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Collana |
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Studies in Big Data, , 2197-6511 ; ; 130 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Political science |
Computational neuroscience |
Computational Intelligence |
Artificial Intelligence |
Governance and Government |
Computational Neuroscience |
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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 bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Artificial Intelligence for Rural Healthcare Management: Prognosis, Diagnosis and Treatment -- A Study using Support Vector Machine as a Tool for Patient’s Satisfaction for SARS-CoV-2 Cases Using Telemedicine -- Applications of AI and IoT technology in Protected Cultivation for Enhancing Agricultural Productivity: A Concise Review -- IoT Based Smart Farming Using AI -- Random Forest Algorithm for Plant Disease Prediction. |
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Sommario/riassunto |
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The volume presents research works on developing Artificial Intelligence based algorithms and methodologies for making social good that too to a notable one. The book discusses latest findings on efficient technological solutions of e-governance and other areas of life from the leading researchers in the field. The prime focus is on solving socio-economic technical problems using state-of-the-art research findings like fuzzy computing, evolutionary and hybrid frameworks, neuro computing, etc., along with other AI based computation |
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platforms. The topics covered include solution frameworks using Artificial Intelligence based models in application areas like agriculture and rural development, road accident, travel and tourism, solid waste management, rural medical care, crowd sourced election monitoring system, ragging, rape and other abuses, cyber criminals and cyber bullying, disaster management, social good, etc. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence. |
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