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Autor:
Ralph Krüger
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Towards robotic translation?, Iss IV. Challenges for... (2023)
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 th
Externí odkaz:
https://doaj.org/article/786e192a73be49649c29792d3a8233b0
Autor:
Ralph Krüger
Publikováno v:
Studies in Second Language Learning and Teaching, Vol 2, Iss 4, Pp 505-525 (2012)
This article sets out to illustrate possible applications of electronic corpora in the translation classroom. Starting with a survey of corpus use within corpus-based translation studies, the didactic value of corpora in the translation classroom and
Externí odkaz:
https://doaj.org/article/6377c29331ea4a0f93bfa4f1493a524b
Autor:
Ralph Krüger
Scientific and Technical Translation (STT) is a highly complex and knowledge-intensive field of translation and cognitive linguistics is a usage-based linguistic framework which provides powerful theoretical tools for modelling knowledge organisation
OUTLINE OF A DIDACTIC FRAMEWORK FOR COMBINED DATA LITERACY AND MACHINE TRANSLATION LITERACY TEACHING
Autor:
Ralph Krüger, Janiça Hackenbuchner
Publikováno v:
Current Trends in Translation Teaching and Learning E. :375-432
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 pub
Autor:
Ralph Krüger
Publikováno v:
Lebende Sprachen. 67:247-282
The data-driven paradigm of neural machine translation is a powerful translation technology based on state-of-the art approaches in artificial intelligence research. This technology is employed extensively in the professional translation process, req
Autor:
Ralph Krüger
Publikováno v:
Translation Spaces. 11:213-233
This article intends to contribute to the current debate on the quality of neural machine translation (NMT) vs. (professional) human translation quality, where recently claims concerning (super)human performance of NMT systems have emerged. The artic
Autor:
Ralph Krüger
Publikováno v:
The Interpreter and Translator Trainer. 16:503-523
Autor:
Ralph Krüger
Publikováno v:
CURRENT TRENDS IN TRANSLATION TEACHING AND LEARNING E. 8:4-30
This paper presents an online repository of Python resources aimed at teaching the technical dimension of machine translation to students of translation studies programmes. The Python resources provided in this repository are Jupyter notebooks. These
Autor:
Ralph Krüger
Publikováno v:
Across Languages and Cultures. 21:195-216
This paper is concerned with the following question: to what extent does neural machine translation (NMT) – a relatively new approach to machine translation (MT), which can draw on richer contextual information than previous MT architectures – pe
Autor:
Barbara Ahrens, Morven Beaton-Thome, Monika Krein-Kühle, Ralph Krüger, Lisa Link/Ursula Wienen (Hg./eds.)
Translation und Fachkommunikation haben ein großes Potenzial für Interdependenzen und Innovationen. An Theorien, Methoden und Fragestellungen der aktuellen Forschung, Lehre und Praxis von Translation und Fachkommunikation zeigt sich, wie die Grenze