Prof. Dr. Alexander Fraser
Academic Career and Research Areas
Alexander Fraser is renowned for his work in machine learning approaches to machine translation, language modeling, and multilingual natural language processing. He focuses on addressing data sparsity and integrating linguistic and world knowledge in AI systems. Additionally, he collaborates with language communities to develop technology for their languages. His contributions to natural language processing and machine learning emphasize both theoretical advancements and practical applications.
Prof. Fraser acquired his doctoral degree in 2007 at University of Southern California in computer science. From 2007 to 2013 he was at the University of Stuttgart. From 2013 to 2024 he was at LMU Munich, from 2017 as the Professor of Information and Language Processing. He received the ERC Starting Grant in 2014, an ERC Proof of Concept Grant in 2022, and the ERC Advanced Grant in 2024. He is Chair for Data Analytics & Statistics at the Technical University of Munich since 2024, and is also a PI of the Munich Center for Machine Learning.
Awards
- European Research Council Advanced Grant - Evaluating and Programming Intelligent Chatbots for Any Language (EPICAL) (2024)
- European Research Council Proof of Concept - Data for Multilingual Learning (2022)
- PI Munich Center for Machine Learning
- PI EU FP7 Project Health in my Language (HimL)
- European Research Council Starting Grant - Domain Adaptation for Statistical Machine Translation (2014)
Key Publications (all publications)
Tsedeniya Kinfe Temesgen, Marion Di Marco, Alexander Fraser (2025). Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 27198-27214, Suzhou, China, November.
AbstractFaeze Ghorbanpour, Daryna Dementieva, Alexander Fraser (2025). Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbour Retrieval with Limited Labeled Data. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 29662–29680, Suzhou, China, November.
AbstractShu Okabe, Katharina Hämmerl, Alexander Fraser (2025). Improving Parallel Sentence Mining for Low-Resource and Endangered Languages. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Short Papers (ACL), pages 196-205, Vienna, Austria, July.
AbstractLukas Edman, Helmut Schmid, Alexander Fraser (2024). CUTE: Measuring LLMs’ Understanding of Their Tokens. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3017-3026, Miami, FL, USA, November.
AbstractWen Lai, Mohsen Mesgar, Alexander Fraser (2024). LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. In Findings of the Association for Computational Linguistics: ACL, pages 8186-8213, Bangkok, Thailand, August.
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