Using Jupyter Notebooks as Didactic Instruments in Translation Technology Teaching

Autor/in	Krüger, Ralph
Titel	Using Jupyter Notebooks as Didactic Instruments in Translation Technology Teaching
Quelle	In: Interpreter and Translator Trainer, 16 (2022) 4, S.503-523 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Krüger, Ralph)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1750-399X
DOI	10.1080/1750399X.2021.2004009
Schlagwörter	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; Germany + Suchen Sie Ihr Suchwort? Zweitsprachenerwerb; Fremdsprachenunterricht; Natürliche Sprache; Concept learning; Begriffsbildung; Teaching method; Lehrmethode; Unterrichtsmethode; Linguistics; Computerlinguistik; Magister course; Magisterstudiengang; Unterrichtsmedien; Pilot project; Modellversuch; Pilotprojekt; Web-Design; Ausland; Kursstrukturplan; Denkfähigkeit; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Technisches Wissen; Berufsausbildung; Deutschland
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01