01156nam--2200361---450-99000357858020331620111019115939.088-14-15661-1000357858USA01000357858(ALEPH)000357858USA0100035785820111019d2008----km-y0itay50------baitaIT||||||||001yyModelli innovativi di governance territorialeprofili teorici e applicativia cura di Paola BilanciaMilanoGiuffré2008201124 cmCentro studi sul federalismoStudi152001Centro studi sul federalismoStudi, 15Decentramento amministrativoItaliaBNCF342.4509CASTALDI,Roberto603142ITsalbcISBD990003578580203316XXIV.3.F. 27471539 G.XXIV.3.F.00197675BKGIUFIORELLA9020111019USA011156FIORELLA9020111019USA011159Modelli innovativi di governance territoriale1116258UNISA03971nam 2201141z- 450 991063999370332120231214133157.03-0365-6140-4(CKB)5470000001633416(oapen)https://directory.doabooks.org/handle/20.500.12854/95840(EXLCZ)99547000000163341620202301d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierThe Classification of Arabic Dialects: Traditional Approaches, New Proposals, and Methodological ProblemsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (296 p.)3-0365-6139-0 The question of how to classify the different varieties of spoken Arabic is a long-standing problem in the fields of Arabic and Semitic linguistics, and it has been addressed by several authors and from a number of different perspectives. This collection of articles represents a further contribution to the vast collective effort of attempting to more effectively assess, organize, and understand the varieties of spoken Arabic, applying a classification of Arabic dialects in the broadest possible sense. The authors who contribute to this volume tackle this issue by examining varieties spoken from the Maghreb to the Mashreq and employing various approaches and perspectives, e.g., diatopic and diachronic, syntactical, and typological.Classification of Arabic DialectsLanguagebicsscdialect classificationsubgroupingSudanic ArabicEgyptian Arabicdefinitenessindefinitenessspecificityreferentialitydeterminationarticle systemsphonological typologyfeature geometrycontrastivityArabic dialectsconsonant reflexesMahdia ArabicMaghribi ArabicTunisiaSahelurban dialectsBedouin dialectsvillageois dialectsArabic dialectologySociolinguisticsArabicBaggaracomparative dialectologyhistorical dialectologyhistorical linguisticsdialectologynomadismmethodologygeographydialect geographyArabic epigraphyTunisian ArabicLibyan Arabiccopulassyntactic isoglossescognate infinitiveLebanese ArabictypologySemitic languagespalatalizationnasalCairene Arabicsociophoneticsacoustic phoneticsMoroccan ArabicEssaouiraTafilaltsouthern Moroccodialect contacturbanruralgələtqəltuspoken ArabicclassificationBedouin ArabicJordanMasāʿīdspoken Arabic varietiesJordanian ArabicArabic linguisticsLanguageBettega Simoneedt1302050Morano RobertaedtBettega SimoneothMorano RobertaothBOOK9910639993703321The Classification of Arabic Dialects: Traditional Approaches, New Proposals, and Methodological Problems3026062UNINA04031nam 22006855 450 991029844750332120200629203314.03-319-23654-710.1007/978-3-319-23654-4(CKB)3430000000002619(EBL)4198396(SSID)ssj0001596904(PQKBManifestationID)16296846(PQKBTitleCode)TC0001596904(PQKBWorkID)14886473(PQKB)11545548(DE-He213)978-3-319-23654-4(MiAaPQ)EBC4198396(PPN)190884371(EXLCZ)99343000000000261920151210d2015 u| 0engur|n|---|||||txtccrSentic Computing A Common-Sense-Based Framework for Concept-Level Sentiment Analysis /by Erik Cambria, Amir Hussain1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (196 p.)Socio-Affective Computing,2509-5706 ;1Description based upon print version of record.3-319-23653-9 Includes bibliographical references and index.Introduction -- SenticNet -- Sentic Patterns -- Sentic Applications -- Conclusion -- Index.This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: •    Sentic Computing's multi-disciplinary approach to sentiment  analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference •    Sentic Computing’s shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text •    Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain  and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction and systems.Socio-Affective Computing,2509-5706 ;1NeurosciencesData miningSemanticsCognitive psychologyNeuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Semanticshttps://scigraph.springernature.com/ontologies/product-market-codes/N39000Cognitive Psychologyhttps://scigraph.springernature.com/ontologies/product-market-codes/Y20060Neurosciences.Data mining.Semantics.Cognitive psychology.Neurosciences.Data Mining and Knowledge Discovery.Semantics.Cognitive Psychology.610Cambria Erikauthttp://id.loc.gov/vocabulary/relators/aut885028Hussain Amirauthttp://id.loc.gov/vocabulary/relators/autBOOK9910298447503321Sentic Computing2519135UNINA