A MOOC on Approaches to Machine Translation

  • Marta Ruiz Costa-jussà Instituto Politécnico Nacional
  • Lluis Formiga Verbio
  • Oriol Torrillas Universitat Politècnica de Catalunya
  • Jordi Petit Universitat Politècnica de Catalunya
  • José Adrián Rodríguez Fonollosa Universitat Politècnica de Catalunya
Keywords: Massive Open On-line Course, Machine Translation

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.

Author Biographies

Marta Ruiz Costa-jussà, Instituto Politécnico Nacional
Centro de Investigación en Computación
Oriol Torrillas, Universitat Politècnica de Catalunya
Departament de Teoria del Senyal i Comunicacions
Jordi Petit, Universitat Politècnica de Catalunya
Departament de Ciències de la Computació
José Adrián Rodríguez Fonollosa, Universitat Politècnica de Catalunya
Departament de Teoria del Senyal i Comunicacions
Published
2015-12-03
How to Cite
Ruiz Costa-jussà, M., Formiga, L., Torrillas, O., Petit, J., & Rodríguez Fonollosa, J. A. (2015). A MOOC on Approaches to Machine Translation. The International Review of Research in Open and Distributed Learning, 16(6). https://doi.org/10.19173/irrodl.v16i6.2145