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INTEGRATING MACHINE TRANSLATION INTO MOOCS

Authors: Castilho, Sheila; Gaspari, Federico; Moorkens, Joss; Way, Andy;

INTEGRATING MACHINE TRANSLATION INTO MOOCS

Abstract

This paper presents TraMOOC (Translation for Massive Open Online Courses), a European research project developed with the intention of empowering international learners in the digital multilingual world by providing reliable machine translation (MT) specifically tailored to MOOCs from English into 11 languages (Bulgarian, Chinese, Croatian, Czech, Dutch, German, Greek, Italian, Polish, Portuguese, and Russian). The paper describes how the project is addressing the challenges involved in developing an innovative, high-quality MT service for producing accurate translations of heterogeneous multi-genre MOOC materials, encompassing subtitles of video lectures, assignments, tutorials, and social web text posted on student blogs and fora. Based on the results of a large-scale and multi-method evaluation conducted as part of the TraMOOC project, we offer a reflection on how to best integrate state-of-the-art MT into MOOC platforms. The conclusion summarizes the key lessons learned, that can be applied by the wider community of international professionals with an interest in the multilingual aspects of innovative education and new learning technologies.

Country
Ireland
Keywords

Distance education, Educational technology, Machine learning

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green