teaching

current courses

Machine learning: An introduction, GU

previous courses

Foundations of Linguistics (2020) MSc Cognitive Systems, UP
Machine Translation (2020 & 2021) BA Computational Linguistics, UP
Deep Learning for NLP (2020 & 2021) MSc Cognitive Systems, UP
Coreference Resolution (2019 & 2020) MSc Cognitive Systems, UP
Natural Language Processing (2018) MA Language Technology, GU
Linguistics in the Digital Age (2017) MA Linguistic Diversity in the Digital Age, HY
Machine Translation (2017) MA Language Technology, UU

supervision

BA Linguistics, GU

Tom Södahl Bladsjö. Sense and Sensitivity: Exploring how Neural Machine Translation Systems Handle Slurs (2022)

MA Language Technology, GU

Eleni Fysikoudi. Guided by Surprisal: Active Curriculum Language Modeling over a Hybrid Pre-training Method. Contributions to the BabyLM Challenge (Co-supervised with Asad Sayeed, 2025)

Ourania Kolovou. Machine Translation between Ancient Greek and English (2024)

Minerva Suvanto. Exploring the Extent of Racial Biases in Language Modeling and some Debiasing Techniques (2022)

Iris Epple. Examining the Potential of Cross-lingual Word Embeddings for the Transfer of Legal Concepts from English to German (Co-supervised with Svetoslav Marinov, 2019)

MSc Cognitive Systems, UP

Ignatia Steinmetzler. Overcoming Text Simplification Resource Constraints with Multilingual Machine Translation (2022)

Atreya Shankar. SoPa++: Leveraging explainability from hybridized RNN, CNN and weighted finite-state neural architectures (Co-supervised with Mathias Müller, 2020)

Vageesh Kumar Saxena. Optimizing and Understanding Transfer in Multilingual NMT using TX-Ray (Co-supervised with Nils Rethmeier, 2020)