LEADER 00954nam0-2200337---450- 001 990008440260403321 005 20101004142518.0 010 $a88-420-8008-X 035 $a000844026 035 $aFED01000844026 035 $a(Aleph)000844026FED01 035 $a000844026 100 $a20061215d2006----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a----a---001yy 200 1 $aUscire dal vago$eanalisi linguistica della vaghezza nel linguaggio$fSabrina Machetti$gprefazione di Tullio De Mauro 210 $aRoma ; Bari$cLaterza$d2006 215 $aXV, 108 p.$d21 cm 225 1 $aPercorsi$v95 610 0 $aLinguistica 676 $a410 700 1$aMachetti,$bSabrina$0297194 702 1$aDe Mauro,$bTullio$f<1932- > 801 0$aIT$bUNINA$c20061215$gRICA$2UNIMARC 901 $aBK 912 $a990008440260403321 952 $a410 MAC 1$fFLFBC 959 $aFLFBC 996 $aUscire dal vago$9727471 997 $aUNINA LEADER 04168nam 2200793Ia 450 001 9910781515703321 005 20230810202046.0 010 $a1-283-43053-3 010 $a9786613430533 010 $a3-11-026384-X 024 7 $a10.1515/9783110263848 035 $a(CKB)2550000000075130 035 $a(EBL)799436 035 $a(OCoLC)769190326 035 $a(SSID)ssj0000559534 035 $a(PQKBManifestationID)12253296 035 $a(PQKBTitleCode)TC0000559534 035 $a(PQKBWorkID)10567513 035 $a(PQKB)10259421 035 $a(MiAaPQ)EBC799436 035 $a(DE-B1597)172203 035 $a(OCoLC)1002272945 035 $a(OCoLC)1004876486 035 $a(OCoLC)1011470115 035 $a(OCoLC)979689607 035 $a(OCoLC)984653441 035 $a(OCoLC)987943218 035 $a(OCoLC)992489695 035 $a(OCoLC)999362858 035 $a(DE-B1597)9783110263848 035 $a(Au-PeEL)EBL799436 035 $a(CaPaEBR)ebr10515783 035 $a(CaONFJC)MIL343053 035 $a(EXLCZ)992550000000075130 100 $a20110912d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe acquisition of German $eintroducing organic Grammar /$fAnne Vainikka, Martha Young-Scholten 210 1$aBerlin ;$aBoston :$cDe Gruyter Mouton,$d2011. 215 $a1 online resource (xi, 407 pages) 225 1 $aStudies on language acquisition ;$v44 311 0 $a3-11-026376-9 320 $aIncludes bibliographical references and index. 327 $tFrontmatter --$tDedication. Acknowledgments --$tContents --$tChapter 1. Introduction --$tChapter 2. Organic Syntax of Adult German --$tChapter 3. Organic Grammar and L1 acquisition --$tChapter 4. Second language acquisition at the VP level --$tChapter 5. Second language acquisition at the IP level --$tChapter 6. Differences in triggering between children and adults --$tChapter 7. The second language acquisition of the CP projection --$tChapter 8. Naturalistic learners and unsolved problems in SLA --$tReferences --$tIndex 330 $aThe Acquisition of German: Introducing Organic Grammar brings together work on the acquisition of German from over four decades of child L1 and immigrant L2 learner studies. The book's major feature is new longitudinal data from three secondary school students who began an exchange year in Germany with no German knowledge and attained fluency. Their naturalistic acquisition process - with a succession of stages described for the first time in L2 acquisition - is highly similar to that of younger learners. This has important implications for German teaching and for the theory of Universal Grammar and acquisition. Organic Grammar, a variant of generative syntax, is offered as a practical alternative to Chomsky's Minimalism. The analysis focuses on extensive monthly samples of the three students' German development in an input-rich environment. Similar to previous studies, the teenagers build syntactic structure from the bottom up. Two acquired correct word order by the end of the year, the third, who had greater conscious awareness of German grammar, had a divergent route of development, suggesting that language awareness can alter a natural developmental path. The results are addressed in light of recent debates in child-adult differences. 410 0$aStudies on language acquisition ;$v44. 606 $aGerman language$xAcquisition 606 $aLanguage acquisition 606 $aGrammar, Comparative and general 610 $aGenerative Grammar. 610 $aGerman. 610 $aLanguage Acquisition. 615 0$aGerman language$xAcquisition. 615 0$aLanguage acquisition. 615 0$aGrammar, Comparative and general. 676 $a430.1/9 686 $aGB 3019$2rvk 700 $aVainikka$b Anne$01513634 701 $aYoung-Scholten$b Martha$01503519 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781515703321 996 $aThe acquisition of German$93748228 997 $aUNINA LEADER 04317nam 2201189z- 450 001 9910619469103321 005 20221025 010 $a3-0365-5174-3 035 $a(CKB)5670000000391583 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93169 035 $a(oapen)doab93169 035 $a(EXLCZ)995670000000391583 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDeep Learning-Based Machinery Fault Diagnostics 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (290 p.) 311 08$a3-0365-5173-5 330 $aThis book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aabnormal case removal 610 $aalumina concentration 610 $aaluminum reduction process 610 $aanti-noise 610 $aattention mechanism 610 $aautonomous underwater vehicle 610 $aauxiliary model 610 $aBayesian network 610 $abearing fault detection 610 $abelief rule base 610 $acanonical correlation analysis 610 $acanonical variate analysis 610 $acase-based reasoning 610 $aconvolution fusion 610 $aconvolutional neural network 610 $adata augmentation 610 $adata-driven 610 $adeep residual network 610 $adistributed predictive control 610 $adisturbance detection 610 $adynamic autoregressive latent variables model 610 $adynamics 610 $aevent-triggered control 610 $aevidential reasoning 610 $aevidential reasoning rule 610 $afault detection 610 $afault diagnosis 610 $afault tolerant control 610 $afilter 610 $aflywheel fault diagnosis 610 $afractional-order calculus theory 610 $afuzzy fault tree analysis 610 $agated recurrent unit 610 $agearbox fault diagnosis 610 $ahammerstein output-error systems 610 $ahigh-speed trains 610 $ainformation transformation 610 $aintelligent fault diagnosis 610 $ainterval type-2 Takagi-Sugeno fuzzy model 610 $ajust-in-time learning 610 $ak-nearest neighbor analysis 610 $alocal outlier factor 610 $aLSSVM 610 $amulti-innovation identification theory 610 $an/a 610 $anonlinear networked systems 610 $aocean currents 610 $aoperational optimization 610 $aparameter optimization 610 $apower transmission system 610 $aprocess monitoring 610 $aPSO 610 $arobust optimization 610 $asintering process 610 $aspatiotemporal feature fusion 610 $astacked pruning sparse denoising autoencoder 610 $astate identification 610 $astatistical local analysis 610 $asubspace identification 610 $asystem modelling 610 $athruster fault diagnostics 610 $avariable time lag 610 $awavelet mutation 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 700 $aChen$b Hongtian$4edt$01063057 702 $aZhong$b Kai$4edt 702 $aRan$b Guangtao$4edt 702 $aCheng$b Chao$4edt 702 $aChen$b Hongtian$4oth 702 $aZhong$b Kai$4oth 702 $aRan$b Guangtao$4oth 702 $aCheng$b Chao$4oth 906 $aBOOK 912 $a9910619469103321 996 $aDeep Learning-Based Machinery Fault Diagnostics$93013732 997 $aUNINA