Innovation in Language Learning

Edition 17

Accepted Abstracts

Subtitler Training in Digital Game-Based Contexts: The Subtitle Legends Project

José Ramón Calvo-Ferrer, Universidad de Alicante (Spain)

José Ramón Belda-Medina, Universidad de Alicante (Spain)

Miguel Tolosa-Igualada, Universidad de Alicante (Spain)

Abstract

One of the salient problems in translator and interpreter training is the heterogeneous proficiency levels in the second language classroom. Complaints about lack of linguistic skills at early stages are common amongst teachers at tertiary levels. Whatever the case, there is an evident ambiguity in determining the students' proficiency level as a result of such heterogeneity. This inevitably brings about difficulties in the adoption of necessary training actions, which in many cases consist of general measures, a sort of passe-partout merely tackling linguistic issues in a superficial manner. However, it is possible to diagnose the problem in a more accurate manner, as well as to identify the causes underlying the deficiencies that lead to foreign languages skills undermining translator and interpreter training. The development of technologies designed to assess language proficiency may provide instructors with tools to overcome such issues in translator and interpreting training. Video games, for example, have been successfully used as data mining tools to identify patterns and predict outcomes in education. In line with this, we wish to introduce an ongoing project on the development of a video game designed to predict both translation and linguistic skills of students of the degree in Translation and Interpreting, aimed at identifying student needs in second language training, so as to make language training for translators and interpreters specific, adaptative and purposeful.

Keywords: digital game-based learning, subtitling, training, video games;

 

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