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[null,"1.","Record Nr.",null,"UNINA9910466351903321"]
[null,null,"Titolo",null,"Cityscapes and perceptual dialectology : global perspectives on non-linguists' knowledge of the dialect landscape / / edited by Jennifer Cramer, Chris Montgomery"]
[null,null,"Pubbl/distr/stampa",null,"Boston, [Massachusetts] ; ; Berlin, Germany : , : De Gruyter Mouton, , 2016"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"1-5015-0026-0"]
[{"$nulls":4},"1-61451-008-3"]
[null,null,"Descrizione fisica",null,"1 online resource (322 p.)"]
[null,null,"Collana",null,"Language and Social Life, , 2364-4303 ; ; Volume 5"]
[null,null,"Classificazione",null,"ES 520"]
[null,null,"Disciplina",null,"417/.2091732"]
[null,null,"Soggetti",null,"Urban dialects"]
[{"$nulls":4},"Linguistic geography"]
[{"$nulls":4},"Speech perception"]
[{"$nulls":4},"Language and languages - Variation"]
[{"$nulls":4},"Dialectology - Research"]
[{"$nulls":4},"Sociolinguistics - Research"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Frontmatter -- Contents -- List of illustrations -- List of tables -- Preface -- Acknowledgements -- Notes on contributors -- 1. Introduction -- 2. Developing methods in Perceptual Dialectology -- 3. Rural vs. urban: Perception and production of identity in a border city -- 4. City talk and Country talk: Perceptions of urban and rural English in Washington State -- 5. Rural “rednecks” and urban “bluebloods”: The (in)compatibility of sounding gay and sounding southern -- 6. Urbanicity and language variation and change: Mapping dialect perceptions in and of Seoul -- 7. The strength of stereotypes in the production and perception of the Viennese dark lateral -- 8. Access and attitudes: A study of adolescents’ metalinguistic awareness -- 9. The accents of Marseille: Perceptions and linguistic change -- 10. Perceptual prominence of city-based dialect areas in Great Britain -- 11. Dialect perception and identification in Nottingham -- 12. Real and perceived variation in Dublin English -- 13. Perceptual Dialectology, speech samples, and the concept of salience: Initial findings from the "]
[{"$nulls":4},"DFG-project “Lay Linguists’ perspective on German regional varieties: Reconstructing lay linguistic conceptualizations of German in a perceptual dialectology approach” -- References -- Index"]
[null,null,null,"Sommario/riassunto","This edited collection presents papers relating to the state of the art in Perceptual Dialectology research. The authors take an international view of the field of Perceptual Dialectology, broadly defined, to assess the similarities and contrasts in non-linguists’ perceptions of the dialect landscape. The volume is global in focus, and chapters discuss data gathered in the United States, the United Kingdom, the Republic of Ireland, France, Germany, Austria, and South Korea. The common methods used by many of the contributors means that readers will be able to draw comparisons from the breadth of the volume. The primary focus of this volume is geared toward an examination of dialect perceptions in and of cities, with an additional goal of presenting empirical, theoretical, and methodological advancements in Perceptual Dialectology. Authors’ contributions to the collection examine how the urban setting influences perceptions of linguistic variation and, in the course of examining the connections between place and perceptions, explore several interrelated themes of linguistic variation, including the differences in the perception of rural and urban areas, processes of perception and language change, and the relationship between perception and ‘reality’."]
[null,"2.","Record Nr.",null,"UNISALENTO991002449659707536"]
[null,null,"Autore",null,"Hayes, David K"]
[null,null,"Titolo",null,"Revenue management for the hospitality industry / David K. Hayes, Allisha A. Miller"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken : John Wiley & Sons, c2011"]
[null,null,"ISBN",null,"9780470393086"]
[{"$nulls":4},"0470393084"]
[null,null,"Descrizione fisica",null,"xvi, 512 p. ; 24 cm"]
[null,null,"Disciplina",null,"647.940681"]
[null,null,"Soggetti",null,"Alberghi - Gestione - Manuali"]
[{"$nulls":4},"Turismo - Economia - Manuali"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910427714203321"]
[null,null,"Titolo",null,"Scalable Uncertainty Management : 14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23–25, 2020, Proceedings / / edited by Jesse Davis, Karim Tabia"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-58449-6"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIV, 297 p. 208 illus., 25 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12322"]
[null,null,"Disciplina",null,"003.54"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Computer systems"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Mathematics of Computing"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Computer System Implementation"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Symbolic Logic Meets Machine Learning: A Brief Survey in Infinite Domains -- Score-Based Explanations in Data Management and Machine Learning -- From Ppossibilistic Rule-Based Systems to Machine Learning -- Logic, Probability and Action: A Situation Calculus Perspective -- When Nominal Analogical Proportions do not Fail -- Measuring Disagreement with Interpolants -- Inferring from an imprecise Plackett–Luce model: Application to Label Ranking -- Inference with Choice Functions Made Practical -- A Formal Learning Theory for Three-way Clustering -- Belief Functions for Safety Arguments Confidence Estimation -- Incremental Elicitation of Capacities for the Sugeno Integral with a Maximum Approach -- Computable Randomness is About More than Probabilities -- Equity in "]
[{"$nulls":4},"Learning Problems: an OWA Approach -- Conversational Recommender System by Bayesian Methods -- Dealing with Atypical Instances in Evidential Decision-Making -- Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction.-Rule-Based Classification for Evidential Data -- Undecided Voters as Set-Valued Information -- Towards Forecasts under Epistemic Imprecision -- Multi-Dimensional Stable Matching Problems in Abstract Argumentation -- Modal Interpretation of Formal Concept Analysis for Incomplete Representations -- A Symbolic Approach for Counterfactual Explanations -- Modelling Multivariate Ranking Functions with Min-Sum Networks -- An Algorithm for the Contension Inconsistency Measure using Reductions to Answer Set Programming."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. Due to the Corona pandemic SUM 2020 was held as an virtual event."]