| Description |
1 online resource |
| Series |
Language and computers ; volume 84 |
|
Language and computers ; no. 84.
|
| Contents |
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 |
| Summary |
"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"-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from digital title page (viewed on October 09, 2019) |
| Subject |
Irish literature -- Middle Irish, 1100-1550 -- Dating
|
|
Irish literature -- Middle Irish, 1100-1550 -- Criticism, Textual
|
|
Manuscript dating -- Methodology
|
|
Machine learning -- Technique
|
|
Irish literature -- Middle Irish
|
|
Machine learning -- Technique
|
| Genre/Form |
Criticism, interpretation, etc.
|
| Form |
Electronic book
|
| Author |
Toner, Gregory, editor.
|
|
Han, Xiwu, editor.
|
| LC no. |
2019023892 |
| ISBN |
900441004X |
|
9789004410046 |
|
