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Enhancing access to online education: quality machine translation of MOOC content

Kordoni, Valia, van den Bosch, Antal orcid logoORCID: 0000-0003-2493-656X, Kermanidis, Katia Lida orcid logoORCID: 0000-0002-3270-5078, Sosoni, Vilelmini orcid logoORCID: 0000-0002-9583-4651, Cholakov, Kostadin, Hendrickx, Iris, Huck, Matthias and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2016) Enhancing access to online education: quality machine translation of MOOC content. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1

Abstract
The present work is an overview of the TraMOOC (Translation for Massive Open Online Courses) research and innovation project, a machine translation approach for online educational content. More specifically, videolectures, assignments, and MOOC forum text is automatically translated from English into eleven European and BRIC languages. Unlike previous approaches to machine translation, the output quality in TraMOOC relies on a multimodal evaluation schema that involves crowdsourcing, error type markup, an error taxonomy for translation model comparison, and implicit evaluation via text mining, i.e. entity recognition and its performance comparison between the source and the translated text, and sentiment analysis on the students' forum posts. Finally, the evaluation output will result in more and better quality in-domain parallel data that will be fed back to the translation engine for higher quality output. The translation service will be incorporated into the Iversity MOOC platform and into the VideoLectures.net digital library portal
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:MOOCs;, statistical machine translation; crowdsourcing; CrowdFlower; entity recognition; sentiment analysis
Subjects:Computer Science > Machine translating
Social Sciences > Distance education
Social Sciences > Educational technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Calzolari, Nicoletta, Choukri, Khalid, Declerck, Thierry and Goggi, Sara, (eds.) Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). . European Language Resources Association (ELRA). ISBN 978-2-9517408-9-1
Publisher:European Language Resources Association (ELRA)
Official URL:http://www.lrec-conf.org/proceedings/lrec2016/pdf/...
Copyright Information:© 2016 ELRA
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 644333, ADAPT Centre, Dublin City University
ID Code:23229
Deposited On:02 May 2019 11:15 by Thomas Murtagh . Last Modified 04 Feb 2020 14:30
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