LEADER 03801nam 2200625 450 001 9910464752603321 005 20210429205558.0 010 $a3-11-039477-4 010 $a3-11-036287-2 024 7 $a10.1515/9783110362879 035 $a(CKB)3360000000515260 035 $a(EBL)1867281 035 $a(SSID)ssj0001457615 035 $a(PQKBManifestationID)11782711 035 $a(PQKBTitleCode)TC0001457615 035 $a(PQKBWorkID)11441235 035 $a(PQKB)10408199 035 $a(MiAaPQ)EBC1867281 035 $a(DE-B1597)426729 035 $a(OCoLC)908670253 035 $a(DE-B1597)9783110362879 035 $a(Au-PeEL)EBL1867281 035 $a(CaPaEBR)ebr11049686 035 $a(CaONFJC)MIL808133 035 $a(EXLCZ)993360000000515260 100 $a20150324h20152015 uy| 0 101 0 $aeng 135 $aur||#|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSequences in language and text /$fedited by George K. Mikros, Ja?n Macutek 210 1$aBerlin ;$aBoston :$cDe Gruyter Mouton,$d[2015] 210 4$d©2015 215 $a1 online resource (268 p.) 225 1 $aQuantitative linguistics ;$vQl69 300 $aDescription based upon print version of record. 311 $a3-11-036273-2 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tForeword --$tContents --$tIntroduction --$tLinguistic Analysis Based on Fuzzy Similarity Models --$tTextual navigation and autocorrelation --$tMenzerath-Altmann law versus random model --$tText length and the lambda frequency structure of a text --$tLinguistic Motifs --$tLinguistic Modelling of Sequential Phenomena --$tMenzerath-Altmann Law for Word Length Motifs --$tIs the Distribution of L-Motifs Inherited from the Word Length Distribution? --$tSequential Structures in ?Dalimil?s Chronicle? --$tComparative Evaluation of String Similarity Measures for Automatic Language Classification --$tPredicting Sales Trends --$tWhere Alice Meets Little Prince --$tA Probabilistic Model for the Arc Length in Quantitative Linguistics --$tSubject Index --$tAuthors Index --$tAuthors? addresses 330 $aThe edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system. 410 0$aQuantitative linguistics ;$vQl69. 606 $aComputational linguistics$xResearch 608 $aElectronic books. 615 0$aComputational linguistics$xResearch. 676 $a006.3/5 702 $aMikros$b George K.$f1969- 702 $aMac?utek$b Ja?n 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464752603321 996 $aSequences in language and text$92479468 997 $aUNINA LEADER 01580nas 2200565- 450 001 996321004303316 005 20230926213019.0 011 $a2385-0833 035 $a(DE-599)ZDB2820141-3 035 $a(OCoLC)689347504 035 $a(CKB)110978976779475 035 $a(CONSER)--2016264173 035 $a(EXLCZ)99110978976779475 100 $a20101203a19119999 --- b 101 0 $aita 135 $aurbn||||||abp 135 $aurbn||||||ada 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRivista italiana di ornitologia 210 1$aMilano :$cSocietà italiana di scienze naturali 210 31$aPavi :$cPAGEPress 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 $a0035-6875 517 1 $aResearch in ornithology 517 1 $aRIO 531 $aRIV ITAL ORNITOL 606 $aBirds$zItaly$vPeriodicals 606 $aBirds$vPeriodicals 606 $aBirds$2fast$3(OCoLC)fst00832970 606 $aOrnithologie$2gtt 606 $aOiseaux$zItalie$vPériodiques 606 $aOiseaux$vPériodiques 607 $aItaly$2fast 608 $aPeriodicals.$2fast 615 0$aBirds 615 0$aBirds 615 7$aBirds. 615 17$aOrnithologie. 615 6$aOiseaux 615 6$aOiseaux 676 $a598.2945 712 02$aSocietà italiana di scienze naturali, 712 02$aMuseo civico di storia naturale di Milano, 906 $aJOURNAL 912 $a996321004303316 996 $aRivista italiana di ornitologia$9247462 997 $aUNISA LEADER 02205nam0 22004091i 450 001 UON00207277 005 20231205103319.365 010 $a88-7091-026-1 100 $a20030730f1992 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| 1|||| 200 1 $aFormaggio olandese$fWillem Elsschot$gintroduzione di Charles van Leeuwen 205 $aMilano : Iperborea$bc1992 210 $a126 p.$a20 cm 215 $a Trad. dal neerlandese di Giorgio Faggin. 316 $aDono Libreria Bonardi$5IT-UONSI OlandFondo Bonardi/057 316 $aGoverno Belga$5IT-UONSI OlandVIIIELS For T. 316 $aGoverno Belga$5IT-UONSI OlandVIIIELS For T./bis 316 $aGoverno Belga$5IT-UONSI OlandVIIIELS For T./ter 316 $aGoverno Belga$5IT-UONSI OlandVIIIELS For T./qua 410 1$1001UON00067745$12001 $aIperborea$1210 $aMilano$cIperborea.$v26 500 1$3UON00476111$aKaas$91471546 620 $aIT$dMilano$3UONL000005 676 $a839.3136$cNarrativa olandese. 1900-1999$v21 700 1$aELSSCHOT$bWillem$3UONV124482$0547210 702 1$aLEEUWEN$bCharles Jeroen : van$3UONV124483 712 $aIperborea$3UONV259181$4650 801 $aIT$bSOL$c20240220$gRICA 912 $aUON00207277 950 $aSIBA - 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