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MULLE: A grammar-based Latin language learning tool to supplement the classroom setting

Conference paper
Authors Herbert Lange
Peter Ljunglöf
Published in NLPTEA 2018, the 5th Workshop on Natural Language Processing Techniques for Educational Applications, Melbourne, Australia, 19th July 2018
Publisher Association for Computational Linguistics
Place of publication Melbourne, Australia
Publication year 2018
Published at Department of Computer Science and Engineering (GU)
Language en
Links www.aclweb.org/anthology/W18-3715
https://gup.ub.gu.se/file/207624
Subject categories Computational linguistics

Abstract

MULLE is a tool for language learning that focuses on teaching Latin as a foreign language. It is aimed for easy integration into the traditional classroom setting and syllabus, which makes it distinct from other language learning tools that provide standalone learning experience. It uses grammar-based lessons and embraces methods of gamification to improve the learner motivation. The main type of exercise provided by our application is to practice translation, but it is also possible to shift the focus to vocabulary or morphology training.

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