Mean machines? Sociotechnical (r)evolution and human labour in the translation and interpreting industry
Author:
Affiliation:
1. Department of Translation Studies, University of Graz, Graz, Austria
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/0907676X.2024.2346378
Reference39 articles.
1. Bentivogli L. Bisazza A. Cettolo M. & Federico M. (2016). Neural versus phrase-based machine translation quality: A case study. Paper presented at the Conference on empirical methods in natural language processing (EMNLP) November 1–5 2016 Austin Texas USA. https://arxiv.org/pdf/1608.04631.pdf.
2. Besznyák, R., Márta, F., Csilla, S., & Arevalillo, J. J.2020). Fit-for-market translator and interpreter training in a digital age. Vernon Press.
3. Resistance and accommodation: factors for the (non-) adoption of machine translation among professional translators
4. Cronin, M. (2012). The translation age: Translation, technology and the new instrumentalism. In L. Venuti (Ed.), The translation studies reader (pp. 469–483). Routledge.
5. Translation, technology and climate change
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