• Using Jupyter Notebooks as Did...

Treffer: Using Jupyter Notebooks as Didactic Instruments in Translation Technology Teaching

Title:
Using Jupyter Notebooks as Didactic Instruments in Translation Technology Teaching
Language:
English
Authors:
Krüger, Ralph (ORCID 0000-0002-1009-3365)
Source:
Interpreter and Translator Trainer. 2022 16(4):503-523.
Availability:
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed:
Y
Page Count:
21
Publication Date:
2022
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
Descriptors:
Translation, Second Language Learning, Second Language Instruction, Natural Language Processing, Concept Formation, Teaching Methods, Computational Linguistics, Masters Programs, Programming Languages, Educational Technology, Pilot Projects, Web Sites, Foreign Countries, Course Descriptions, Computer Software, Thinking Skills, Usability, Graduate Students, Self Evaluation (Individuals), Technological Literacy, Professional Education
Geographic Terms:
Germany
DOI:
10.1080/1750399X.2021.2004009
ISSN:
1750-399X
1757-0417
Entry Date:
2023
Accession Number:
EJ1370890
Database:
ERIC

Weitere Informationen

This paper intends to illustrate the didactic potential of Python-based Jupyter notebooks in teaching translation technology, machine translation in particular, to translation students. It discusses the basic makeup of Jupyter notebooks and shows how these notebooks can be set up for students who have had little to no prior exposure to the Python programming language. Then, the paper discusses the general didactic benefits of Jupyter notebooks for both students and lecturers in a translation studies context. It shows how students can interact with these notebooks, which translation technological and translation-oriented natural language processing (NLP) concepts can be taught using them and to what extent interaction with these notebooks can help students understand, in a very general way, some basic principles of (NLP-oriented) Python programming. Finally, the paper presents the results of a pilot study on the use of Jupyter notebooks in a machine translation course in an MA programme in specialised translation.

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