LEADER 01125nam0 22002531i 450 001 VAN0039582 005 20221201114312.220 100 $a20051128d1932 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆIl ‰diritto degli alimenti$enatura del diritto e soggetti$fper il prof. Giorgio Bo 210 $aPadova$cCedam$d1932 215 $a538 p.$d25 cm 410 1$1001VAN0010970$12001 $aStudi di diritto privato italiano e straniero. Nuova serie$1210 $aPadova$cCEDAM.$v7 620 $dPadova$3VANL000007 700 1$aBo$bGiorgio$3VANV032723$0486264 712 $aCEDAM $3VANV111515$4650 801 $aIT$bSOL$c20230616$gRICA 912 $aVAN0039582 950 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00CONS FB.XV.101 $e00FB 4150 20110324 Fondo Salvatore Biggiero 950 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00CONS XV.Ef.129 $e00FP 27880 20051128 Fondo Raffaele Papa 996 $aDiritto degli alimenti$91043350 997 $aUNICAMPANIA LEADER 03161oam 22005172 450 001 9910793609703321 005 20211220225007.0 010 $a90-04-41004-X 024 7 $a10.1163/9789004410046 035 $a(CKB)4100000009269314 035 $a(MiAaPQ)EBC5900211 035 $a(OCoLC)1108786461 035 $a(nllekb)BRILL9789004410046 035 $a(EXLCZ)994100000009269314 100 $a20190709d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aLanguage and chronology$b[e-book] $etext dating by machine learning /$fGregory Toner, Xiwu Han 210 1$aLeiden Boston :$cBrill | Rodopi,$d2019. 215 $a1 online resource (xii, 183 pages) $cillustrations 225 1 $aLanguage and Computers;$vvolume84 311 $a90-04-41003-1 320 $aIncludes bibliographical references and index. 327 $tFront Matter -- Copyright Page /$rGregory Toner and Xiwu Han -- Abbreviations /$rGregory Toner and Xiwu Han -- Introduction /$rGregory Toner and Xiwu Han -- Dating Texts: Principles and Methods /$rGregory Toner and Xiwu Han -- Computational Approaches to Text Dating /$rGregory Toner and Xiwu Han -- Trials in English and Medieval Irish Texts /$rGregory Toner and Xiwu Han -- Dating Long Documents /$rGregory Toner and Xiwu Han -- Conclusion /$rGregory Toner and Xiwu Han -- Back Matter -- Bibliography /$rGregory Toner and Xiwu Han -- Index /$rGregory Toner and Xiwu Han. 330 $aIn Language and Chronology, Toner and Han apply innovative Machine Learning techniques to the problem of the dating of literary texts. Many ancient and medieval literatures lack reliable chronologies which could aid scholars in locating texts in their historical context. The new machine-learning method presented here uses chronological information gleaned from annalistic records to date a wide range of texts. The method is also applied to multi-layered texts to aid the identification of different chronological strata within single copies. While the algorithm is here applied to medieval Irish material of the period c.700-c.1700, it can be extended to written texts in any language or alphabet. The authors? approach presents a step change in Digital Humanities, moving us beyond simple querying of electronic texts towards the production of a sophisticated tool for literary and historical studies. 410 0$aLanguage and Computers;$vvolume84. 606 $aIrish literature$yMiddle Irish, 1100-1550$xDating 606 $aIrish literature$yMiddle Irish, 1100-1550$xCriticism, Textual 606 $aManuscript dating$xMethodology 606 $aMachine learning$xTechnique 615 0$aIrish literature$xDating. 615 0$aIrish literature$xCriticism, Textual. 615 0$aManuscript dating$xMethodology. 615 0$aMachine learning$xTechnique. 676 $a891.62002 702 $aToner$b Gregory 702 $aHan$b Xiwu 801 0$bNL-LeKB 801 1$bNL-LeKB 906 $aBOOK 912 $a9910793609703321 996 $aLanguage and chronology$93843135 997 $aUNINA