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Tradares: A tool for the automatic evaluation of human translation quality within an MOOC environment Betanzos Atienza, Miguel Ruiz Costa-Jussà, Marta Belanche Muñoz, Luis Antonio Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. Departament de Ciències de la Computació Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla Universitat Politècnica de Catalunya. SOCO - Soft Computing Àrees temàtiques de la UPC::Informàtica Machine translating Traductors (Programes d'ordinador) This is an Accepted Manuscript of an article published by Taylor & Francis in “Applied artificial intelligence” on 08th July 2017, available online: http://www.tandfonline.com/doi/full/10.1080/08839514.2017.1317154 In this paper, we introduce TradARES, a tool for the automatic evaluation of human translation quality developed in the context of an OpenEdx MOOC (Massive Open Online Course), setting the foundation for a tool that provides efficient and trustful feedback to students. Our further goal is to release a small corpus of Arabic-Spanish translations from the first edition of the course. The evaluation tool is based on prediction models and at the moment is able to indicate the quality of a given piece of text—in the numerical scale {1,2,3,4}—as a translation of another piece of text. Peer Reviewed Postprint (author's final draft) 2017-05-13 Article Betanzos, M., Ruiz, M., Belanche, L. Tradares: A tool for the automatic evaluation of human translation quality within an MOOC environment. "Applied artificial intelligence", 13 Maig 2017, vol. 31, núm. 3, p. 288-297. 0883-9514 https://hdl.handle.net/2117/105047 10.1080/08839514.2017.1317154 eng http://www.tandfonline.com/doi/full/10.1080/08839514.2017.1317154 Open Access 10 p. application/pdf