Language and Chronology
Text Dating by Machine Learning
Bibliographic Data
| ID | 23534687 |
|---|---|
| Authors | Gregory Toner, Xiwu Han |
| Year | 2019 |
| Publication date | 2019-09-02 |
| Open Access | No |
| Type | BOOK |
| Venue | Language and Chronology (SOURCE_BOOK) |
| Publisher | Brill (PUBLISHER • NL) |
| DOI | 10.1163/9789004410046 |
| OpenAlex | W2968938630 |
| ISBN | 9789004410046 |
| Language | EN |
| Citations received | 1 |
This books applies 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.
Archaeology · Chronology · Linguistics · Historical and Linguistic Studies · History · Linguistics and language evolution · Philosophy
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |