[Seminar] "The development of the information-theoretical method for the classification of texts and its application to the definition of authorship" by Dr. Nadezhda Savina

Speaker: Dr. Nadezhda Savina

Leading Researcher, Laboratory of information-theoretical methods and data processing, Department of Information Technologies, Novosibirsk State University

[Abstract]

Initially, in the 1960s, data-compression methods were  developed for efficient storing and transmission. In the last twenty years, it was realized that data-compression methods can be used for solving many important problems of prediction and statistical analysis.

In this research we explain how data-compression methods can be applied to a so-called attribution problem. Note, that attribution in philology is the definition of the author of a literary work. There is more than one literary work whose authorship was once or is still unknown, false or doubtful. Perhaps the most famous attribution problem is the well-known Shakespeare Question.

Here we describe the application of this method to one important problem of attribution and show that the suggested method is quite efficient.

Host: Jonathan Miller, Professor, Physics and Biology Unit.

Dr. Savina will be visiting OIST from September 16th to September 20th.  If you would like to meet with Dr. Savina during her visit, please contact Midori Tanahara <e-mail: midori.tanahara [at] oist.jp>.