Approaching Questions of Text Reuse in Ancient Greek Using Computational Syntactic Stylometry
Bibliographic Data
| ID | 21240014 |
|---|---|
| Authors | Vanessa B Gorman (University of Nebraska–Lincoln), Robert J Gorman (University of Nebraska–Lincoln) |
| Year | 2016 |
| Volume | 2 |
| Issue | 1 |
| Publication date | 2016-11-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Open Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 2300-9969 • E-ISSN: 2300-9969 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/opli-2016-0026 |
| OpenAlex | W2548278138 |
| Language | EN |
| References cited | 2 |
We are investigating methods by which data from dependency syntax treebanks of ancient Greek can be applied to questions of authorship in ancient Greek historiography. From the Ancient Greek Dependency Treebank were constructed syntax words (sWords) by tracing the shortest path from each leaf node to the root for each sentence tree. This paper presents the results of a preliminary test of the usefulness of the sWord as a stylometric discriminator. The sWord data was subjected to clustering analysis. The resultant groupings were in accord with traditional classifications. The use of sWords also allows a more fine-grained heuristic exploration of difficult questions of text reuse. A comparison of relative frequencies of sWords in the directly transmitted Polybius book 1 and the excerpted books 9–10 indicate that the measurements of the two texts are generally very close, but when frequencies do vary, the differences are surprisingly large. These differences reveal that a certain syntactic simplification is a salient characteristic of Polybius’ excerptor, who leaves conspicuous syntactic indicators of his modifications
Affix · Ancient Greek · Art · Language model · Linguistics · Literature · Natural language processing · Perplexity · Salient · Sentence · Stylometry · SWORD · Syntax · Treebank · Authorship Attribution and Profiling · Computer Science · History · Natural Language Processing Techniques · Philosophy · Text Readability and Simplification · Artificial Intelligence
| Highly cited | No |
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