7th International Conference on Computer Science and Engineering, UBMK 2022, Diyarbakır, Turkey, 14 - 16 September 2022, pp.222-227
© 2022 IEEE.Mobile-assisted language learning is an emerging trend in language education. Recently, the use of gamification for complex morphology learning has been perceived positively by morphologically rich language learners (namely, Turkish as a foreign language learners). Generating automatic explicit grammar exercises with the use of finite-state transducers (FST) in a gamified environment is a new and practical approach in this field. The integration of such platforms into new languages should be easily implementable in order to reduce the development efforts. This study is a first attempt towards this goal. The paper introduces an architecture for a multilingual platform supporting gamified morphology learning. As a test case, the French language module is developed in addition to Turkish. Experiences with these languages are explained and the stages for adding additional languages are described. The study reveals that morphological complexity is an important issue to consider, and the morphological differences of the target language should be considered while designing a mobile language learning application.