LEADER 03195oam 22005292 450 001 9910494625303321 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 608 $aElectronic books. 615 0$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 $a9910494625303321 996 $aLanguage and chronology$92447685 997 $aUNINA