JOURNAL ARTICLE
Learning Phonology with Data in the Classroom: Engaging Students in the Creolistic Research Process.
Published In: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities, 2024, v. 18, n. 1. P. 40 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Trigo, Luís; Silva, Carlos; De Almeida, Vera Moitinho 3 of 3
Abstract
Phonology is a linguistic discipline that is naturally computational. However, as many researchers are not familiar with the use of digital methods, most of the computation required is still performed by humans. This article presents a training experiment of master's students of the phonology seminar at the University of Porto, bringing the research process directly to the classroom. The experiment was designed to raise students' awareness of the potentialities of combining human and machine computation in phonology. The Centre for Digital Culture and Innovation (CODA) readily embraced this project to showcase the application of digital humanities as humanities in both research and training activities. During this experiment, students were trained to collect and process phonological data using various open-source and free web-based resources. By combining a strict protocol with some individual research freedom, the students were able to make valuable contributions towards Creolistic Studies, while enriching their individual skills. Finally, the interdisciplinary nature of the approach has demonstrated its potential within and beyond the humanities and social sciences fields (e.g., linguistics, archaeology, history, geography, ethnology, sociology, and genetics), by also introducing the students to basic concepts and practices of Open Science and FAIR principles, including Linked Open Data. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Humanities & Arts Computing: A Journal of Digital Humanities. 2024/03, Vol. 18, Issue 1, p40
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:1753-8548
- DOI:10.3366/ijhac.2024.0320
- Accession Number:176431502
- Copyright Statement:Copyright of International Journal of Humanities & Arts Computing: A Journal of Digital Humanities is the property of Edinburgh University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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