UID:
edocfu_9959369653702883
Format:
1 online resource (XV, 282 p.)
ISBN:
9783110687675
Series Statement:
Trends in Classics - Supplementary Volumes ; 98
Content:
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.
Note:
Dissertation Univ. of Athens 2016.
,
Frontmatter --
,
Preface --
,
Contents --
,
List of Figures --
,
List of Tables --
,
1. General Conclusions, or How to Read this Book --
,
2. Introduction --
,
3. Pr. and the Athetesis Question --
,
4. Quantitative Style in Pr. --
,
5. Applying Automated Authorship Attribution to Greek Tragedy: The Case of Pr. --
,
6. Who Composed Pr.?: A Possibility --
,
Appendix I: The Distribution of Particles --
,
Appendix II: Changes in the Texts in the Main Corpus --
,
Bibliography --
,
Index nominum et rerum
,
In English.
Additional Edition:
ISBN 9783110687811
Additional Edition:
ISBN 9783110687644
Language:
English
DOI:
10.1515/9783110687675
URL:
https://doi.org/10.1515/9783110687675
