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

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

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Editors	Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of Publication	Paris, France
Publisher	European Language Resources Association (ELRA)
Pages	16-22
Number of pages	7
ISBN (Print)	978-2-9517408-9-1
Publication status	Published - 1 May 2016
Event	10th edition of the Language Resources and Evaluation Conference - Portorož , Slovenia Duration: 23 May 2016 → 28 May 2016 http://lrec2016.lrec-conf.org/en/ http://www.lrec-conf.org/proceedings/lrec2016/index.html

Conference

Conference	10th edition of the Language Resources and Evaluation Conference
Abbreviated title	LREC 2016
Country/Territory	Slovenia
City	Portorož
Period	23/05/16 → 28/05/16
Internet address	http://lrec2016.lrec-conf.org/en/ http://www.lrec-conf.org/proceedings/lrec2016/index.html

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380_PaperFinal published version, 426 KB

http://www.lrec-conf.org/proceedings/lrec2016/summaries/380.html

Translation for Massive Open Online Courses- TraMooc
Koehn, P. & Birch-Mayne, A.
EU government bodies
1/02/15 → 31/01/18
Project: Research

Cite this

Kordoni, V., Bosch, A. V. D., Kermanidis, K. L., Sosoni, V., Cholakov, K., Hendrickx, I., Huck, M., & Way, A. (2016). Enhancing Access to Online Education: Quality Machine Translation of MOOC Content. In N. C. Chair), K. Choukri, T. Declerck, M. Grobelnik, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 16-22). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2016/summaries/380.html

Kordoni, Valia ; Bosch, Antal van den ; Kermanidis, Katia Lida et al. / Enhancing Access to Online Education: Quality Machine Translation of MOOC Content. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). editor / Nicoletta Calzolari (Conference Chair) ; Khalid Choukri ; Thierry Declerck ; Marko Grobelnik ; Bente Maegaard ; Joseph Mariani ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. Paris, France : European Language Resources Association (ELRA), 2016. pp. 16-22

@inproceedings{5a81c3a7360949158eb26de2528265cf,

title = "Enhancing Access to Online Education: Quality Machine Translation of MOOC Content",

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.",

author = "Valia Kordoni and Bosch, {Antal van den} and Kermanidis, {Katia Lida} and Vilelmini Sosoni and Kostadin Cholakov and Iris Hendrickx and Matthias Huck and Andy Way",

year = "2016",

month = may,

day = "1",

language = "English",

isbn = "978-2-9517408-9-1",

pages = "16--22",

editor = "Chair), {Nicoletta Calzolari (Conference} and Khalid Choukri and Thierry Declerck and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis",

booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)",

publisher = "European Language Resources Association (ELRA)",

note = "10th edition of the Language Resources and Evaluation Conference, LREC 2016 ; Conference date: 23-05-2016 Through 28-05-2016",

url = "http://lrec2016.lrec-conf.org/en/, http://www.lrec-conf.org/proceedings/lrec2016/index.html",

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Kordoni, V, Bosch, AVD, Kermanidis, KL, Sosoni, V, Cholakov, K, Hendrickx, I, Huck, M & Way, A 2016, Enhancing Access to Online Education: Quality Machine Translation of MOOC Content. in NC Chair), K Choukri, T Declerck, M Grobelnik, B Maegaard, J Mariani, A Moreno, J Odijk & S Piperidis (eds), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). European Language Resources Association (ELRA), Paris, France, pp. 16-22, 10th edition of the Language Resources and Evaluation Conference, Portorož , Slovenia, 23/05/16. <http://www.lrec-conf.org/proceedings/lrec2016/summaries/380.html>

Enhancing Access to Online Education: Quality Machine Translation of MOOC Content. / Kordoni, Valia; Bosch, Antal van den; Kermanidis, Katia Lida et al.

Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). ed. / Nicoletta Calzolari (Conference Chair); Khalid Choukri; Thierry Declerck; Marko Grobelnik; Bente Maegaard; Joseph Mariani; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Paris, France : European Language Resources Association (ELRA), 2016. p. 16-22.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Enhancing Access to Online Education: Quality Machine Translation of MOOC Content

AU - Kordoni, Valia

AU - Bosch, Antal van den

AU - Kermanidis, Katia Lida

AU - Sosoni, Vilelmini

AU - Cholakov, Kostadin

AU - Hendrickx, Iris

AU - Huck, Matthias

AU - Way, Andy

PY - 2016/5/1

Y1 - 2016/5/1

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-2-9517408-9-1

SP - 16

EP - 22

BT - Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

A2 - Chair), Nicoletta Calzolari (Conference

A2 - Choukri, Khalid

A2 - Declerck, Thierry

A2 - Grobelnik, Marko

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

CY - Paris, France

T2 - 10th edition of the Language Resources and Evaluation Conference

Y2 - 23 May 2016 through 28 May 2016

ER -

Kordoni V, Bosch AVD, Kermanidis KL, Sosoni V, Cholakov K, Hendrickx I et al. Enhancing Access to Online Education: Quality Machine Translation of MOOC Content. In Chair) NC, Choukri K, Declerck T, Grobelnik M, Maegaard B, Mariani J, Moreno A, Odijk J, Piperidis S, editors, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Paris, France: European Language Resources Association (ELRA). 2016. p. 16-22

Enhancing Access to Online Education: Quality Machine Translation of MOOC Content

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Translation for Massive Open Online Courses- TraMooc

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