Deep Learning meets Post-modern Poetry
- We summarize our project Rhythmicalizer in which we analyze a corpus of post-modern poetry in a combination of qualitative hermeneutical and computational methods, as we have run the project over the course of the past three years (and preparing it for some time before that). Interdisciplinary work is always challenging and we here focus on some of the highlights of our collaboration.
Author: | Timo BaumannORCiDGND, Burkhard Meyer-SickendiekORCiD |
---|---|
URL / DOI: | http://ceur-ws.org/Vol-2717/paper03.pdf |
ISSN: | 1613-0073 |
Parent Title (English): | TwinTalks 2020: Understanding and Facilitating Collaboration in Digital Humanities 2020, proceedings of the Twin Talks 2 and 3 workshops at DHN 2020 and DH 2020, Ottawa Canada and Riga Latvia, July 23 and October 20, 2020 |
Publisher: | RWTH Aachen |
Editor: | Steven Krauwer, Darja Fišer |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 2020 |
Release Date: | 2022/04/11 |
Tag: | Literary Studies; Machine Learning; Meta-Research |
First Page: | 30 |
Last Page: | 36 |
Andere Schriftenreihe: | CEUR Workshop Proceedings ; 2717 |
Institutes: | Fakultät Informatik und Mathematik |
Begutachtungsstatus: | peer-reviewed |
Publication: | Externe Publikationen |
OpenAccess Publikationsweg: | Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium |
research focus: | Information und Kommunikation |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |