Enhancing Access to Online Education: Quality Machine Translation of MOOC Content
Valia Kordoni, Antal van den Bosch, Katia Lida Kermanidis, Vilelmini Sosoni, Kostadin Cholakov, Iris Hendrickx, Matthias Huck, Andy Way
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.- Anthology ID:
- L16-1003
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 16–22
- Language:
- URL:
- https://aclanthology.org/L16-1003
- DOI:
- Cite (ACL):
- Valia Kordoni, Antal van den Bosch, Katia Lida Kermanidis, Vilelmini Sosoni, Kostadin Cholakov, Iris Hendrickx, Matthias Huck, and Andy Way. 2016. Enhancing Access to Online Education: Quality Machine Translation of MOOC Content. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 16–22, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Enhancing Access to Online Education: Quality Machine Translation of MOOC Content (Kordoni et al., LREC 2016)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/L16-1003.pdf