Abstract
This paper describes the design, development and execution of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid”. The course is launched from the Canvas platform used by recognized European universities. The course contains video-lecture, quizzes and laboratory assignments. Evaluation is done using a virtual learning environment for computer programming 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 internationalize different tools developed at the Universitat Politècnica de Catalunya.
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Costa-jussà, M.R., Formiga, L., Petit, J., Fonollosa, J.A.R. (2014). Detailed Description of the Development of a MOOC in the Topic of Statistical Machine Translation. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_10
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DOI: https://doi.org/10.1007/978-3-319-13647-9_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13646-2
Online ISBN: 978-3-319-13647-9
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