@inproceedings{kordoni-etal-2016-enhancing,
title = "Enhancing Access to Online Education: Quality Machine Translation of {MOOC} Content",
author = "Kordoni, Valia and
van den Bosch, Antal and
Kermanidis, Katia Lida and
Sosoni, Vilelmini and
Cholakov, Kostadin and
Hendrickx, Iris and
Huck, Matthias and
Way, Andy",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1003",
pages = "16--22",
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.",
}
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%0 Conference Proceedings
%T Enhancing Access to Online Education: Quality Machine Translation of MOOC Content
%A Kordoni, Valia
%A van den Bosch, Antal
%A Kermanidis, Katia Lida
%A Sosoni, Vilelmini
%A Cholakov, Kostadin
%A Hendrickx, Iris
%A Huck, Matthias
%A Way, Andy
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F kordoni-etal-2016-enhancing
%X 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.
%U https://aclanthology.org/L16-1003
%P 16-22
Markdown (Informal)
[Enhancing Access to Online Education: Quality Machine Translation of MOOC Content](https://aclanthology.org/L16-1003) (Kordoni et al., LREC 2016)
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).