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A MOOC on approaches to machine translation
Costa-jussà, Marta Ruiz · Formiga, Lluis · Torrillas, Oriol · Petit, Jordi · Fonollosa, José Adrián Rodríguez

PublishedNovember 2015
Type of workSpecial Issue: Towards a European perspective on Massive Open Online Courses
JournalThe International Review of Research in Open and Distributed Learning
Volume 16, Issue 6, Pages 174-205
EditorsMcGreal, Rory and Conrad, Dianne
RegionEurope

ABSTRACT
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.

Keywords machine translation ·  · MOOC

ISSN1492-3831
Other number6
RefereedYes
Rightsby/4.0
DOI10.19173/irrodl.v16i6.2145
URLhttp://www.irrodl.org/index.php/irrodl/article/view/2145
Export optionsBibTex · EndNote · Tagged XML · Google Scholar



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2145-19098-2-PB.pdf · 1MB50 downloads



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