A MOOC on Approaches to Machine Translation
This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future. The course was developed within a Canvas platform, used by recognized E...
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Athabasca University Press
2015
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oai:doaj.org-article:0ba06a965dd94eee91f65e823c2ec2e12021-12-02T18:03:16ZA MOOC on Approaches to Machine Translation10.19173/irrodl.v16i6.21451492-3831https://doaj.org/article/0ba06a965dd94eee91f65e823c2ec2e12015-12-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/2145https://doaj.org/toc/1492-3831 This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future. The course was developed within a Canvas platform, used by recognized European universities. The course contains video-lectures, quizzes and laboratory assignments. Evaluation is done across on-line quizzes, programming assignments (PAs) evaluated by means of a specific code evaluation and peer-to-peer strategies. This MOOC allows to introduce people from various areas to the Machine Translation theory and practice. It also allows to internationally publisize different tools developed at the Universitat Polit`ecnica de Catalunya. Marta Ruiz Costa-jussàLluis FormigaOriol TorrillasJordi PetitJosé Adrián Rodríguez FonollosaAthabasca University PressarticleMassive Open On-line CourseMachine TranslationSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 16, Iss 6 (2015) |
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Massive Open On-line Course Machine Translation Special aspects of education LC8-6691 |
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Massive Open On-line Course Machine Translation Special aspects of education LC8-6691 Marta Ruiz Costa-jussà Lluis Formiga Oriol Torrillas Jordi Petit José Adrián Rodríguez Fonollosa A MOOC on Approaches to Machine Translation |
description |
This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future. The course was developed within a Canvas platform, used by recognized European universities. The course contains video-lectures, quizzes and laboratory assignments. Evaluation is done across on-line quizzes, programming assignments (PAs) evaluated by means of a specific code evaluation and peer-to-peer strategies. This MOOC allows to introduce people from various areas to the Machine Translation theory and practice. It also allows to internationally publisize different tools developed at the Universitat Polit`ecnica de Catalunya.
|
format |
article |
author |
Marta Ruiz Costa-jussà Lluis Formiga Oriol Torrillas Jordi Petit José Adrián Rodríguez Fonollosa |
author_facet |
Marta Ruiz Costa-jussà Lluis Formiga Oriol Torrillas Jordi Petit José Adrián Rodríguez Fonollosa |
author_sort |
Marta Ruiz Costa-jussà |
title |
A MOOC on Approaches to Machine Translation |
title_short |
A MOOC on Approaches to Machine Translation |
title_full |
A MOOC on Approaches to Machine Translation |
title_fullStr |
A MOOC on Approaches to Machine Translation |
title_full_unstemmed |
A MOOC on Approaches to Machine Translation |
title_sort |
mooc on approaches to machine translation |
publisher |
Athabasca University Press |
publishDate |
2015 |
url |
https://doaj.org/article/0ba06a965dd94eee91f65e823c2ec2e1 |
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