›Prometheus Bound‹ – A Separate Authorial Trace in the Aeschylean Corpus
Seiten
2020
De Gruyter (Verlag)
978-3-11-068764-4 (ISBN)
De Gruyter (Verlag)
978-3-11-068764-4 (ISBN)
Classics, Computer Science, and Linguistics are brought together in this book, in an attempt to provide an answer to the authorship question concerning Prometheus Bound, a disputed play in the Aeschylean corpus, by applying some well-established Computer Stylistics methods. One of the main objectives of Stylometry, which, broadly speaking, is the study of quantified style, is Authorship Attribution. In its traditional form it can range from manually calculating descriptive statistics to the use of computer-assisted methodologies. However, non-traditional Authorship Attribution drastically changed the field. It brought together modern Linguistics and Artificial Intelligence applications (machine learning, natural language processing), and its key characteristic is that it aims at developing fully-automated systems for the attribution of texts of unknown authorship. In this book the author employs a series of supervised and unsupervised techniques used in non-traditional Authorship Attribution–applied here for the first time in ancient drama. The outcome of the analysis indicates a significant distance between the disputed text and the secure plays of Aeschylus, but also various interesting (micro-linguistic) ties of affinity with other authors, especially Sophocles and Euripides.
Nikos Manousakis, University of Athens, Athens, Greece.
| Erscheinungsdatum | 03.06.2020 |
|---|---|
| Reihe/Serie | Trends in Classics - Supplementary Volumes ; 98 |
| Zusatzinfo | b/w graphics |
| Verlagsort | Berlin/Boston |
| Sprache | englisch |
| Maße | 155 x 230 mm |
| Gewicht | 565 g |
| Themenwelt | Geschichte ► Allgemeine Geschichte ► Altertum / Antike |
| Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Literaturwissenschaft | |
| Schlagworte | Aeschylus • Aischylos • Artificial Intelligence • authorship • Computer Stylistics • Der Gefesselte Prometheus • Griechische Tragödie • Künstliche Intelligenz |
| ISBN-10 | 3-11-068764-X / 311068764X |
| ISBN-13 | 978-3-11-068764-4 / 9783110687644 |
| Zustand | Neuware |
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