LEADER 01495oam 2200481zu 450 001 996214921803316 005 20210807004645.0 010 $a1-118-66631-3 035 $a(CKB)3450000000004319 035 $a(SSID)ssj0000726648 035 $a(PQKBManifestationID)11432967 035 $a(PQKBTitleCode)TC0000726648 035 $a(PQKBWorkID)10684804 035 $a(PQKB)11124509 035 $a(PPN)177890932 035 $a(EXLCZ)993450000000004319 100 $a20160829d2006 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 00$aMagnetospheric ULF waves : synthesis and new directions 210 31$a[Place of publication not identified]$cAmerican Geophysical Union$d2006 225 0 $aGeophysical monograph series Magnetospheric ULF waves 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-87590-434-3 606 $aMagnetohydrodynamic waves 606 $aMagnetohydrodynamic instabilities 606 $aParticle dynamics 606 $aMagnetosphere 606 $aMagnetospheric physics 615 0$aMagnetohydrodynamic waves 615 0$aMagnetohydrodynamic instabilities 615 0$aParticle dynamics. 615 0$aMagnetosphere 615 0$aMagnetospheric physics 676 $a538/.766 702 $aTakahashi$b K 801 0$bPQKB 906 $aBOOK 912 $a996214921803316 996 $aMagnetospheric ULF waves : synthesis and new directions$92280179 997 $aUNISA LEADER 05148nam 2200757Ia 450 001 9910788438203321 005 20230802002618.0 010 $a1-283-85844-4 010 $a1-934078-23-9 024 7 $a10.1515/9781934078242 035 $a(CKB)3340000000001895 035 $a(EBL)893796 035 $a(OCoLC)1058063122$z(OCoLC)821020855 035 $a(SSID)ssj0000811892 035 $a(PQKBManifestationID)12382226 035 $a(PQKBTitleCode)TC0000811892 035 $a(PQKBWorkID)10859294 035 $a(PQKB)10780345 035 $a(MiAaPQ)EBC893796 035 $a(DE-B1597)38490 035 $a(OCoLC)816178059 035 $a(OCoLC)821020855 035 $a(DE-B1597)9781934078242 035 $a(Au-PeEL)EBL893796 035 $a(CaPaEBR)ebr10634504 035 $a(CaONFJC)MIL417094 035 $a(EXLCZ)993340000000001895 100 $a20121016d2012 uy 0 101 0 $aeng 135 $aurnn#---|u||u 181 $ctxt 182 $cc 183 $acr 200 00$aStatistical learning and language acquisition$b[electronic resource] /$fedited by Patrick Rebuschat, John N. Williams 210 $aBerlin ;$aBoston $cDe Gruyter Mouton$d2012 215 $a1 online resource (524 p.) 225 0 $aStudies in second and foreign language education ;$v1 300 $aDescription based upon print version of record. 311 0 $a1-934078-24-7 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tPreface --$tList of contributors --$tTable of contents --$tIntroduction: Statistical learning and language acquisition /$rRebuschat, Patrick / Williams, John --$tStatistical-sequential learning in development /$rMisyak, Jennifer B. / Goldstein, Michael H. / Christiansen, Morten H. --$tBootstrapping language: Are infant statisticians up to the job? /$rJohnson, Elizabeth K. --$tSensitivity to statistical information begets learning in early language development /$rHay, Jessica F. / Lany, Jill --$tWord segmentation: Trading the (new, but poor) concept of statistical computation for the (old, but richer) associative approach /$rPerruchet, Pierre / Poulin-Charronnat, Bénédicte --$tThe road to word class acquisition is paved with distributional and sound cues /$rSandoval, Michelle / Gonzales, Kalim / Gómez, Rebecca --$tLinguistic constraints on statistical learning in early language acquisition /$rShukla, Mohinish / Gervain, Judit / Mehler, Jacques / Nespor, Marina --$tThe potential contribution of statistical learning to second language acquisition /$rOnnis, Luca --$tStatistical learning and syntax: What can be learned, and what difference does meaning make? /$rWilliams, John N. / Rebuschat, Patrick --$tStatistical construction learning: Does a Zipfian problem space ensure robust language learning? /$rEllis, Nick C. / O'Donnell, Matthew Brook --$tCan we enhance domain-general learning abilities to improve language function? /$rConway, Christopher M. / Gremp, Michelle A. / Walk, Anne D. / Bauernschmidt, Althea / Pisoni, David B. --$tConscious versus unconscious learning of structure /$rDienes, Zoltan --$tHow implicit is statistical learning? /$rHamrick, Phillip / Rebuschat, Patrick --$tWhat Bayesian modelling can tell us about statistical learning: What it requires and why it works /$rPerfors, Amy / Navarro, Daniel J. --$tEvolutionary perspectives on statistical learning /$rSmith, Kenny --$tStatistical learning: What can music tell us? /$rLoui, Psyche --$t''I let the music speak'': Cross-domain application of a cognitive model of musical learning /$rWiggins, Geraint A. --$tIndex 330 $aOpen publication This volume brings together contributors from cognitive psychology, theoretical and applied linguistics, as well as computer science, in order to assess the progress made in statistical learning research and to determine future directions. An important objective is to critically examine the role of statistical learning in language acquisition. While most contributors agree that statistical learning plays a central role in language acquisition, they have differing views. This book will promote the development of the field by fostering discussion and collaborations across disciplinary boundaries. 410 0$aStudies in Second and Foreign Language Education [SSFLE] 606 $aLanguage acquisition 606 $aLinguistics$xStatistical methods 606 $aPsycholinguistics 606 $aTheoretical linguistics 606 $aApplied linguistics 610 $aApplied Linguistics, Language Acquisition, Education. 615 0$aLanguage acquisition. 615 0$aLinguistics$xStatistical methods. 615 0$aPsycholinguistics. 615 0$aTheoretical linguistics. 615 0$aApplied linguistics. 676 $a401.930113 676 $a404.2083 686 $aER 925$2rvk 701 $aRebuschat$b Patrick$01560164 701 $aWilliams$b John$f1960-$0309311 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788438203321 996 $aStatistical learning and language acquisition$93825882 997 $aUNINA