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Saturday, September 3 • 12:15pm - 12:45pm
Towards Tolkien research with computational literary analysis

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EN

In the last two decades, computers have been increasingly used to study text in a literary way.  This is called "computational literary analysis," which has become especially popular in  Shakespeare studies and Jane Austen studies, yet there is hardly a peep about it being used for Tolkien studies. Here I present the case for such research to be done, drawing examples from other fields of computational literary analysis to explain what techniques could be useful here, and why. I provide an example from 'Leaf by Niggle.' I also identify qualities of Tolkien’s fictional works that are ripe for computational literary analysis, and identify potential sources of error and (cautiously) argue for open-source data, in an attempt to encourage methodological transparency and to foster communication between those who prefer "close reading" and those who prefer "distant reading."

No knowledge of computation or coding is assumed. If this lecture tickles your fancy, consider attending the 2:45 workshop on doing the computations yourself. I'll explain things from the ground up, and you will go home with some new coding skills.

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FR please correct my French as I am learning!

Au cours des deux dernières décennies, les ordinateurs ont été de plus en plus utilisés pour étudier la littérature. C'est ce qu'on appelle "l'analyse littéraire computationnelle" ("philologie computationnelle") qui est devenue populaire dans les études de Shakespeare et les études de Jane Austen. Mais qu'en est-il de son utilisation dans les études de Tolkien? Je présente ici les arguments en faveur d'une telle recherche, en tirant des exemples d'autres domaines de l'analyse littéraire computationnelle. J'identifie également les qualités des œuvres de fiction de Tolkien qui sont bonnes pour l'analyse littéraire computationnelle, j'identifie les sources potentielles d'erreur et (soigneusement) plaide en faveur de "données open-source", dans le but d'encourager la transparence méthodologique.

Speakers
avatar for Christina Dinh Nguyen

Christina Dinh Nguyen

Cataloguer, University of Toronto Mississauga
Christina is currently a Master of Information student at the University of Toronto. Her research interests includes natural language processing, computational literary analysis, and information architectures of digital humanities resources. Her greatest hope is that her research... Read More →


Saturday September 3, 2022 12:15pm - 12:45pm BST
1 - Mary Ogilvie Lecture Theatre & Online (Webinar Strand)