Loading...
Loading...

Go to the content (press return)

A MOOC on Approaches to Machine Translation

Author
Ruiz, M.; Formiga, L.; Torrillas, O.; Petit, J.; Fonollosa, José A. R.
Type of activity
Journal article
Journal
International review of research in open and distance learning
Date of publication
2015-11-01
Volume
16
Number
6
First page
174
Last page
205
DOI
https://doi.org/10.19173/irrodl.v16i6.2145 Open in new window
Project funding
Grup de tractament de la parla
Investigación avanzada en tecnologías del habla para aplicación a entornos audiovisuales (SpeechTech4All)
Repository
http://hdl.handle.net/2117/81278 Open in new window
URL
http://www.irrodl.org/index.php/irrodl/article/view/2145 Open in new window
Abstract
This paper describes the design, development, and analysis of a MOOC entitled "Approaches to Machine Translation: Rule-based, statistical and hybrid", and provides lessons learned and conclusions to be taken into account in the future. The course was developed within the Canvas platform, used by recognized European universities. It contains video-lectures, quizzes, and laboratory assignments. Evaluation was through on-line quizzes, programming assignments assessed by means of a specific code eva...
Citation
Costa-jussà, M. R., Formiga, L., Torrillas, O., Petit, J., Fonollosa, José A. R. A MOOC on approaches to machine translation. "International review of research in open and distance learning", 10 Desembre 2015, vol. 16, núm. 6, p. 174-205.
Keywords
MOOC, Machine Translation
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

Attachments