Moorkens, Joss ORCID: 0000-0003-0766-0071 (2023) 'I am not a number': on quantification and algorithmic norms in translation. Perspectives . ISSN 0907-676X
Abstract
Numbers and measurements enable transactions and communication in translation in ways that are helpful and indisputably necessary. However, as deployment of quantification and mathematisation has become more complex and opaque, it is important to interrogate the validity of measures and predictions, especially if they are to be used as a basis for action. This article takes a critical look at the various types of quantification and mathematisation used in translation and considers the effects of these on translators working in highly technologized workflows. It introduces the concept of algorithmic norms, whereby translators feel pressured to reverse engineer and conform to the demands of algorithmic management.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | translation technology; translation norms; algorithms; mathematisation |
Subjects: | Humanities > Philosophy Humanities > Translating and interpreting |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies Research Initiatives and Centres > ADAPT |
Publisher: | Routledge (Taylor & Francis) |
Official URL: | https://doi.org/10.1080/0907676X.2023.2278536 |
Copyright Information: | © 2023 Taylor & Francis |
Funders: | Science Foundation Ireland at ADAPT, the SFI Research Centre for AI-Driven Digital Content Technology at Dublin City University (13/RC/2106_P2]. |
ID Code: | 29234 |
Deposited On: | 01 Dec 2023 10:11 by Joss Moorkens . Last Modified 26 Apr 2024 10:18 |
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