LEADER 05061nam 2200697Ia 450 001 9910465759503321 005 20200520144314.0 010 $a1-283-59428-5 010 $a9786613906731 010 $a90-272-7348-0 035 $a(CKB)2560000000093326 035 $a(EBL)1013046 035 $a(OCoLC)809617693 035 $a(SSID)ssj0000711672 035 $a(PQKBManifestationID)12304711 035 $a(PQKBTitleCode)TC0000711672 035 $a(PQKBWorkID)10722442 035 $a(PQKB)10217555 035 $a(MiAaPQ)EBC1013046 035 $a(Au-PeEL)EBL1013046 035 $a(CaPaEBR)ebr10595302 035 $a(CaONFJC)MIL390673 035 $a(EXLCZ)992560000000093326 100 $a20120613d2012 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe passive in Japanese$b[electronic resource] $ea cartographic minimalist approach /$fTomoko Ishizuka 210 $aAmsterdam ;$aPhiladelphia $cJohn Benjamins$d2012 215 $a1 online resource (265 p.) 225 0 $aLinguistik aktuell/linguistics today (LA) ;$vv. 192 300 $aDescription based upon print version of record. 311 $a90-272-5575-X 320 $aIncludes bibliographical references and index. 327 $aThe Passive in Japanese; Editorial page; Title page; LCC data; Table of contents; List of tables; Abbreviations; A modular analysis of the passive in Japanese; Acknowledgments; Towards a unified theory of Japanese passives; 1.1. The general research program; 1.2. Modularity of grammar; 1.3. The passive voice system in Japanese; 1.3.1. The traditional dichotomy; 1.4. Coalescing the two types of passives; 1.4.1. The polysemy of -rare; 1.4.2. Distributional differences between -rare and -sase; 1.4.3. Indirect passives are pseudo- and genitive passives; 1.5. Research questions 327 $a1.6. Framework and theoretical tools 1.6.1. The principles and parameters treatment of English passives; 1.6.2. Collins' (2005) smuggling analysis; 1.7. The proposed analysis; 1.7.1. Lexical properties of -rare; 1.7.2. General properties interacting with -rare; 1.7.3. What -rare does not do; 1.8. The data: Grammaticality judgment surveys; 1.9. Outline of the book; The passive morpheme -rare; 2.1. The distribution of -rare; 2.2. The passive -rare is always a functional element; 2.3. -rare as a voice head; 2.3.1. Establishing a pattern with long passivization; 2.3.2. -rare instantiates voice 327 $a2.4. Lexical properties of -rare 2.4.1. Complementation properties of -rare; 2.4.2. The EPP feature of -rare; 2.4.3. Introducing a dative projection; 2.5. Subject honorifics; 2.6. Summary of the chapter; The derived subject in the passive; 3.1. General properties of Japanese; 3.1.1. The absence of an expletive; 3.1.2. Movement and case; 3.2. The accusative passive; 3.3. Dative and source passives derived from ditransitive verbs; 3.3.1. Addressee of `verbs of speaking'; 3.3.2. Theme-raising of the passivized ditransitive verb; 3.3.3. The source passive; 3.4. Passivization of causatives 327 $a3.5. Pseudo-passives: Passives with intransitives3.5.1. English pseudo-passives; 3.5.2. Japanese passives derived from obliques; 3.5.3. Postpositional objects incompatible with pseudo-passives; 3.6. The genitive passive; 3.6.1. Genitive passives disguised: Passives requiring context; 3.7. Extra-thematic nominative DPs; 3.8. Summary of the chapter; Ni-passives, ni-yotte-passives, and short passives; 4.1. The ni-phrase; 4.2. The kara-phrase; 4.3. Short passives and ni-yotte passives; 4.3.1. Short passives; 4.3.2. Ni-yotte passives; Revisiting the literature; 5.1. The traditional classification 327 $a5.2. Traditional analyses 5.2.1. The standard analysis of indirect passives; 5.2.2. Standard analyses of direct passives; 5.2.3. Standard analyses of possessive passives; 5.3. Are indirect passives special?; 5.3.1. Numeral Quantifier Floating; 5.3.2. The distribution of ni-phrases; 5.4. Summary of the chapter; Further support for movement; 6.1. The gap is a trace; 6.1.1. Is the gap a pro?; 6.2. Reconstruction effects; 6.2.1. Scope interactions; 6.2.2. Idiom reconstruction; 6.2.3. The distributive morpheme zutu; 6.3. A- vs. A-movement; 6.3.1. Reanalyzing long-distance passivization 327 $a6.4. Does -rare select for an argument? 410 0$aLinguistik aktuell ;$vBd. 192. 606 $aJapanese language$xVoice 606 $aJapanese language$xPassive voice 606 $aJapanese language$xGrammar 606 $aJapanese language$xSyntax 608 $aElectronic books. 615 0$aJapanese language$xVoice. 615 0$aJapanese language$xPassive voice. 615 0$aJapanese language$xGrammar. 615 0$aJapanese language$xSyntax. 676 $a495.6/56 700 $aIshizuka$b Tomoko$f1968-$0993274 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465759503321 996 $aThe passive in Japanese$92274349 997 $aUNINA LEADER 03515nam 22006855 450 001 9910682560403321 005 20251225203650.0 010 $a9783031276224 010 $a3031276221 024 7 $a10.1007/978-3-031-27622-4 035 $a(CKB)5580000000524772 035 $a(DE-He213)978-3-031-27622-4 035 $a(EXLCZ)995580000000524772 100 $a20230318d2023 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Sciences for Computing and Communications $eFirst International Conference, IconDeepCom 2022, Chennai, India, March 17?18, 2022, Revised Selected Papers /$fedited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (XIII, 368 p. 223 illus., 161 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1719 311 08$a9783031276217 311 08$a3031276213 327 $aClassification and Regression Problems for Communication Paradigms -- Deep Learning and Vision Computing -- Deep- Recurrent Neural network (RNN) for Industrial informatics -- Extended AI for heterogeneous Edge. 330 $aThis book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1719 606 $aArtificial intelligence 606 $aEducation$xData processing 606 $aSocial sciences$xData processing 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputers and Education 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aEducation$xData processing. 615 0$aSocial sciences$xData processing. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputers and Education. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Communication Networks. 676 $a006.3 702 $aKottursamy$b Kottilingam$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBashir$b Ali Kashif$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKose$b Utku$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aUthra$b Annie$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910682560403321 996 $aDeep Sciences for Computing and Communications$93272696 997 $aUNINA