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Language and chronology : text dating by machine learning /

"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-learni...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Toner, Gregory (Editor ), Han, Xiwu (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Leiden ; Boston : Brill | Rodopi, 2019.
Colección:Language and computers ; no. 84.
Temas:
Acceso en línea:Texto completo

MARC

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040 |a DLC  |b eng  |e rda  |e pn  |c DLC  |d OCLCO  |d OCLCF  |d EBLCP  |d YDX  |d OCLCQ  |d N$T  |d OCLCO  |d K6U  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 900441004X  |q (electronic book) 
020 |a 9789004410046  |q (electronic bk.) 
020 |z 9789004410039  |q (hardcover) 
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049 |a UAMI 
245 0 0 |a Language and chronology :  |b text dating by machine learning /  |c Gregory Toner, Xiwu Han. 
264 1 |a Leiden ;  |a Boston :  |b Brill | Rodopi,  |c 2019. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Language and computers ;  |v volume 84 
504 |a Includes bibliographical references and index. 
520 |a "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"--  |c Provided by publisher. 
505 0 |a Intro; Contents; Figures, Tables and Algorithms; Abbreviations; Introduction; Chapter 1. Dating Texts: Principles and Methods; Chapter 2. Computational Approaches to Text Dating; Chapter 3. Trials in English and Medieval Irish Texts; Chapter 4. Dating Long Documents; Chapter 5. Conclusion; Appendix A. Conventional Dating of Texts Used in This Study; Appendix B. Machine Learning; Bibliography; Index 
588 0 |a Online resource; title from digital title page (viewed on October 09, 2019). 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Irish literature  |y Middle Irish, 1100-1550  |x Dating. 
650 0 |a Irish literature  |y Middle Irish, 1100-1550  |x Criticism, Textual. 
650 0 |a Manuscript dating  |x Methodology. 
650 0 |a Machine learning  |x Technique. 
650 6 |a Littérature irlandaise  |y 1100-1550 (Moyen irlandais)  |x Datation. 
650 6 |a Manuscrits  |x Datation  |x Méthodologie. 
650 6 |a Apprentissage automatique  |x Technique. 
650 7 |a Irish literature  |x Middle Irish  |2 fast 
650 7 |a Machine learning  |x Technique  |2 fast 
648 7 |a 1100-1550  |2 fast 
655 7 |a Criticism, interpretation, etc.  |2 fast 
700 1 |a Toner, Gregory,  |e editor. 
700 1 |a Han, Xiwu,  |e editor. 
758 |i has work:  |a Language and chronology (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGGmRHdmk76Yw8m7gMcfmd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |t Language and chronology.  |d Leiden ; Boston : Brill | Rodopi, 2019  |z 9789004410039  |w (DLC) 2019023891 
830 0 |a Language and computers ;  |v no. 84. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5900211  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL5900211 
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