@inproceedings{LangeLjungloef2022,
  author    = {Herbert Lange and Peter Ljungl{\"o}f},
  title     = {MULLE: A grammar-based Latin language learning tool to supplement the classroom setting},
  series = {Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications. Melbourne, Australia, July 19, 2018.},
  editor    = {Yuen-Hsien Tseng and Hsin-Hsi Chen and Vincent Ng and Mamoru Komachi},
  publisher = {Association for Computational Linguistics},
  address   = {Stroudsburg, PA},
  isbn      = {978-1-948087-35-3},
  doi       = {10.18653/v1/W18-3715},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-112085},
  pages     = {108 -- 112},
  year      = {2022},
  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.},
  language  = {en}
}