Some Reflections on the Interface between Professional Machine Translation Literacy and Data Literacy

Due to the widespread use of data-driven neural machine translation, both by professional translators and layperson users, an adequate machine translation literacy on the part of the users of this technology is becoming more and more important. At the same time, the increasing datafication of both the private and the business sphere requires an adequate data literacy in modern society. The present article takes a closer look at machine translation literacy and data literacy and investigates the interface between the two concepts. This is done to lay the preliminary theoretical foundations for a didactic project aiming to develop didactic resources for teaching data literacy in its machine translation-specific form to students of BA programmes in translation/specialised communication.

• Publication year

  2023

• Venue

  Journal of Data Mining & Digital Humanities

• Publication date

  2023-01-18

• Fields of study

  Not labeled

• Identifiers
  DOI 10.46298/jdmdh.9045
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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