During my studies of computational linguistics at Ruprecht-Karls-Univesität Heidelberg, I have found myself fascinated by the variability and complexity of languages. I took a specific interest in low resource languages during my semester abroad at Uppsala Universitet, while visiting the course "Syntax of the World's Languages". The impressive differences in ability to convey meaning of rare and endangered languages ties me closely to a key value of Qwyga: language conservancy.
I finished my master studies in computational linguistics in 2020. During my studies I have already gained valuable experience as a working student at SAP SE as well as an research assistant at IDS Mannheim. With my work on Qwyga I aim to use both my knowledge as well as my experience to improve digital language learning as well as conserve low resource languages.
- Born, L., Bacher, M., and Markert, K. (2020). "Dataset Reproducibility and IR Methods in Timeline Summarization." In Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). Marseille, France, May 11–16, pages 1763-1771.