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Outline of a didactic framework for combined data literacy and machine translation literacy teaching

Ralph Krüger and Janica Hackenbuchner (UGent)
(2022) CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E. 9. p.375-432
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Abstract
This paper outlines a didactic framework for combined data literacy and machine translation (MT) literacy teaching for translation and specialised communication students. The framework is being developed in the context of the DataLitMT project, a publicly funded project at the Institute of Translation and Multilingual Communication at TH Koln - University of Applied Sciences, Germany, which develops didactic resources for teaching data literacy in its translation-specific form of MT literacy to students of BA and MA programmes in translation and specialised communication studies. After discussing the high relevance of machine translation literacy and data literacy in professional translation contexts, the paper introduces the DataLit(MT) project and discusses a framework of professional MT literacy and an MT-oriented data literacy framework, which form the two theoretical pillars of the project. Also, the interface between MT literacy and data literacy will be illustrated by showing how specific (sub)dimensions of data literacy can be mapped to relevant (sub)dimensions of professional MT literacy. Finally, the paper presents some preliminary didactic resources of the DataLit(MT) project - concerned with social biases in MT, with MT training data preparation and with automatic MT quality evaluation - and discusses how these resources can be used to teach specific (sub)dimensions of data literacy and professional MT literacy to students in the fields of translation/specialised communication studies.
Keywords
data literacy, professional machine translation literacy, neural machine translation, translation didactics, DataLit(MT), STUDENTS

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MLA
Krüger, Ralph, and Janica Hackenbuchner. “Outline of a Didactic Framework for Combined Data Literacy and Machine Translation Literacy Teaching.” CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E, vol. 9, 2022, pp. 375–432, doi:10.51287/cttl202211.
APA
Krüger, R., & Hackenbuchner, J. (2022). Outline of a didactic framework for combined data literacy and machine translation literacy teaching. CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E, 9, 375–432. https://doi.org/10.51287/cttl202211
Chicago author-date
Krüger, Ralph, and Janica Hackenbuchner. 2022. “Outline of a Didactic Framework for Combined Data Literacy and Machine Translation Literacy Teaching.” CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E 9: 375–432. https://doi.org/10.51287/cttl202211.
Chicago author-date (all authors)
Krüger, Ralph, and Janica Hackenbuchner. 2022. “Outline of a Didactic Framework for Combined Data Literacy and Machine Translation Literacy Teaching.” CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E 9: 375–432. doi:10.51287/cttl202211.
Vancouver
1.
Krüger R, Hackenbuchner J. Outline of a didactic framework for combined data literacy and machine translation literacy teaching. CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E. 2022;9:375–432.
IEEE
[1]
R. Krüger and J. Hackenbuchner, “Outline of a didactic framework for combined data literacy and machine translation literacy teaching,” CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E, vol. 9, pp. 375–432, 2022.
@article{01HX783G9T7A2A0VTSJWKCKXPA,
  abstract     = {{This paper outlines a didactic framework for combined data literacy and machine translation (MT) literacy teaching for translation and specialised communication students. The framework is being developed in the context of the DataLitMT project, a publicly funded project at the Institute of Translation and Multilingual Communication at TH Koln - University of Applied Sciences, Germany, which develops didactic resources for teaching data literacy in its translation-specific form of MT literacy to students of BA and MA programmes in translation and specialised communication studies. After discussing the high relevance of machine translation literacy and data literacy in professional translation contexts, the paper introduces the DataLit(MT) project and discusses a framework of professional MT literacy and an MT-oriented data literacy framework, which form the two theoretical pillars of the project. Also, the interface between MT literacy and data literacy will be illustrated by showing how specific (sub)dimensions of data literacy can be mapped to relevant (sub)dimensions of professional MT literacy. Finally, the paper presents some preliminary didactic resources of the DataLit(MT) project - concerned with social biases in MT, with MT training data preparation and with automatic MT quality evaluation - and discusses how these resources can be used to teach specific (sub)dimensions of data literacy and professional MT literacy to students in the fields of translation/specialised communication studies.}},
  author       = {{Krüger, Ralph and Hackenbuchner, Janica}},
  issn         = {{2342-7205}},
  journal      = {{CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E}},
  keywords     = {{data literacy,professional machine translation literacy,neural machine translation,translation didactics,DataLit(MT),STUDENTS}},
  language     = {{eng}},
  pages        = {{375--432}},
  title        = {{Outline of a didactic framework for combined data literacy and machine translation literacy teaching}},
  url          = {{http://doi.org/10.51287/cttl202211}},
  volume       = {{9}},
  year         = {{2022}},
}
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