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Professor Alexander Fraser is Chair for Data Analytics & Statistics at the Technical University of Munich
 
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Alexander Fraser leads the machine translation group at the Center for Information and Language Processing (CIS), University of Munich (LMU Muenchen). Before that, he led the statistical machine translation group at the Institute for Natural Language Processing (IMS) at the University of Stuttgart. He is PI of a German Research Foundation project which is on modeling morphosyntactic phenomena in statistical approaches to machine translation, and was deputy PI in the EU FP 7 project, TTC - Terminology Extraction, Translation Tools and Comparable Corpora. Previously he worked with Hinrich Schuetze on syntactic parsing. His main research interests are in machine learning-based and hybrid approaches to machine translation, information retrieval and syntactic parsing.
Professor Alexander Fraser is Chair for Data Analytics & Statistics at the Technical University of Munich. He is well known 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.


Alex obtained a PhD in 2007 from the Department of Computer Science at the University of Southern California. The topic of his dissertation was "Improved Word Alignments for Statistical Machine Translation" and his advisor was Daniel Marcu of the Information Sciences Institute. Eduard Hovy, Gareth James, Kevin Knight and Paul Rosenbloom were also on his committee. He obtained a M.Sc. in Computer Science from the University of Southern California in 2002, and a B.A. in Computer Science and Economics, with a concentration in Linguistics, from the University of Massachusetts, Boston, in 1995. In addition to his academic work, Alex has worked at Language Weaver and at BBN Technologies, where he developed the first commercially available statistical machine translation system and worked on Arabic monolingual and cross-language information retrieval.
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, a Core Member of the Munich Data Science Institute and a Fellow of the European Laboratory for Learning and Intelligent Systems.

Latest revision as of 13:45, 4 November 2026

Professor Alexander Fraser is Chair for Data Analytics & Statistics at the Technical University of Munich. He is well known 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, a Core Member of the Munich Data Science Institute and a Fellow of the European Laboratory for Learning and Intelligent Systems.

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