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Articles 1 - 4 of 4
Full-Text Articles in Computational Linguistics
Continuing Christopher Tolkien’S Work In A Digital Age, James K. Tauber
Continuing Christopher Tolkien’S Work In A Digital Age, James K. Tauber
Journal of Tolkien Research
Christopher Tolkien’s 12-volume History of Middle-earth is a remarkable achievement, yet Christopher repeatedly acknowledged how difficult the material was to present in print form and that “that there was no really satisfactory solution”. This paper contends that a printed book is not scholarship but just one way of presenting its results. It explores how digital philology can overcome some of the limitations of print, giving examples from the Digital Tolkien Project. It shows how structural markup, version alignment, parallel reading environments, and other approaches can make relationships between drafts and published texts clearer. Importantly, these methods do not replace Christopher’s …
A Treasure Hunt: The Interdisciplinary Challenge Of A Digital Humanities Hackathon, Marie Barras, Adélaïde Quenson, Adrien Jeanrenaud, Angela Allemand, Marina Berazategui, Levyn Bürki, Michel Capot, Simon Gabay, Vestin Hategekimana, Pauline Jacsont, Bokar Lamine N'Diaye, Elina Leblanc, Clara May, Anne-Laure Oberson, Margherita Parigini, Lara Pitteloud, Fassaleh Taal, Cédric Viaccoz
A Treasure Hunt: The Interdisciplinary Challenge Of A Digital Humanities Hackathon, Marie Barras, Adélaïde Quenson, Adrien Jeanrenaud, Angela Allemand, Marina Berazategui, Levyn Bürki, Michel Capot, Simon Gabay, Vestin Hategekimana, Pauline Jacsont, Bokar Lamine N'Diaye, Elina Leblanc, Clara May, Anne-Laure Oberson, Margherita Parigini, Lara Pitteloud, Fassaleh Taal, Cédric Viaccoz
Artl@s Bulletin
Abstract: This article tells the story of an interdisciplinary hackathon emphasizing exploration, collaboration, and creative engagement with globalization-related cultural datasets. Participants worked in teams to produce research posters, which were then presented at the opening of the international conference Image Deluge & Globalization in Geneva. The article discusses three projects: one on 19th-century Spanish chapbooks using topic modeling and network analysis; another on leopard motifs in print imagery; and a third on olfactory heritage. The hackathon highlighted both the potential and the limitations of working with digital cultural data, offering insights into interdisciplinary methods.
Résumé: Cet article raconte un hackathon …
The Ring Cycle: Journeying Through The Language Of Tolkien’S Third Age With Corpus Linguistics, Michael Livesey
The Ring Cycle: Journeying Through The Language Of Tolkien’S Third Age With Corpus Linguistics, Michael Livesey
Journal of Tolkien Research
This article explores the journey taken by the One Ring across J.R.R. Tolkien’s Third Age writings. It employs a digital humanities approach to analyse linguistic patterns in Tolkien’s use of the word ring, across The Hobbit and The Lord of the Rings. Specifically, the article employs corpus linguistic methods to track shifts in the quantities and qualities of the Ring’s appearance across these texts. It uses techniques of keyness and collocation analysis to trace transformations in these quantities/qualities, including: a) the Ring’s transition from a central to a peripheral place in the Third Age’s narrative arc; and b) …
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Using Textual Features To Predict Popular Content On Digg, Paul H. Miller
Department of English: Dissertations, Theses, and Student Research
Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …