01358nam0-22003731i-450-99000713984040332120120607130830.088-13-19244-4000713984FED01000713984(Aleph)000713984FED0100071398420021021d1995----km-y0itay50------baitaITy---n---001yyVerso un sistema esperto giuridico integraleesempi scelti dal diritto dell'ambiente e della saluteatti del Convegno celebrativo del venticinquennale dell'Istituto, Firenze, 1- 3 dicembre 1993a cura di C. Ciampi, F. Socci Natali, G. Taddei Elmicollaborazione editoriale S. BinazziPadovaCedam1995XII, 740 p.24 cmIn testa al front.: Istituto per la documentazione giuridica del Consiglio Nazionale delle ricerche351.8112 rid.itaCiampi,CostantinoSocci Natali,FiorenzaTaddei Elmi,GiancarloIstituto per la documentazione giuridicaITUNINARICAUNIMARCBK990007139840403321IV 71586DDCICVI I 7604378DDADDCICDDAVerso un sistema esperto giuridico integrale690311UNINA03147oam 22005172 450 991095897440332120211220225007.090-04-41004-X10.1163/9789004410046(CKB)4100000009269314(MiAaPQ)EBC5900211(OCoLC)1108786461(nllekb)BRILL9789004410046(EXLCZ)99410000000926931420190709d2019 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierLanguage and chronology text dating by machine learning /Gregory Toner, Xiwu HanLeiden Boston :Brill | Rodopi,2019.1 online resource (xii, 183 pages) illustrationsLanguage and Computers;volume8490-04-41003-1 Includes bibliographical references and index.Front Matter -- Copyright Page /Gregory Toner and Xiwu Han -- Abbreviations /Gregory Toner and Xiwu Han -- Introduction /Gregory Toner and Xiwu Han -- Dating Texts: Principles and Methods /Gregory Toner and Xiwu Han -- Computational Approaches to Text Dating /Gregory Toner and Xiwu Han -- Trials in English and Medieval Irish Texts /Gregory Toner and Xiwu Han -- Dating Long Documents /Gregory Toner and Xiwu Han -- Conclusion /Gregory Toner and Xiwu Han -- Back Matter -- Bibliography /Gregory Toner and Xiwu Han -- Index /Gregory Toner and Xiwu Han.In 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.Language and Computers;volume84.Irish literatureMiddle Irish, 1100-1550DatingIrish literatureMiddle Irish, 1100-1550Criticism, TextualManuscript datingMethodologyMachine learningTechniqueIrish literatureDating.Irish literatureCriticism, Textual.Manuscript datingMethodology.Machine learningTechnique.891.62002Toner GregoryHan XiwuNL-LeKBNL-LeKBBOOK9910958974403321Language and chronology4407305UNINA