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M.M. van Zaanen

Universitair docent

Tilburg School of Humanities
Department of Communication and Information Sciences

Expertise

My research concentrates on the automatic acquisition from sequences. This includes the development and application of machine learning systems on sequential data, such as natural language or music. In this context, I am mainly concerned with grammatical inference. Grammatical inference is the learning of grammars or structure in sequences. This learned structure can be used within applications. Example applcations where this structure can be used are: machine translation, music classification (in, for example, classes of emotions or composers), or question answering systems.

Key words

Publications

Most recent publications

Zaanen, M. van, Gaustad, T., & Feijen, J. (2011). Influence of Size on Pattern-based Sequence Classification. In P. van der Putten, C. Veenman, Joaquin Vanschoren, Menno Israel, & Hendrik Blockeel (Eds.), Proceedings of the 20th Belgian Dutch Conference on Machine Learning 2011 (pp. 53-60). The Hague: s.n. Further information
Katrenko, S., & Zaanen, M. van (2010). Rademacher complexity and grammar induction algorithms: What it may (not) tell us. In J. Sempere & P. Garcia (Eds.), Grammatica inference: Theoretical results and applications (pp. 293-296). Berlin/Heidelberg: Springer. (Lecture Notes in Artificial Intelligence, 6339). Further information
Stehouwer, J.H., & Zaanen, M. van (2010). Using suffixarrays as language models: Scaling the n-gram. 22nd Benelux Conference on Artificial Intelligence (BNAIC) (pp. 1-8). Tilburg: TiCC. Further information
Stehouwer, J.H., & Zaanen, M. van (2010). Enhanced suffix arrays as language models: Virtual k-testable languages. In J. Sempere & P. Garcia (Eds.), Grammatical inference: Theoretical results and applications (pp. 305-308). Berlin/Heidelberg: Springer. (Lecture Notes in Computer Science, 6339). Further information
Stehouwer, J.H., & Zaanen, M. van (2010). Enhanced suffix arrays as language models: Virtual k-testable languages. The International Multiconference on Computer Science and Information Technology (pp. 505-511). Gdansk: IEEE Computer Society. Further information

Click here for the complete list of publications (Tilburg University Repository Publications only)

Education

Post-graduate certificate in Higher Education. Macquarie University, Sydney, Australia. 2007.

PhD in computational linguistics. Leeds University, Leeds, UK. "Bootstrapping Structure into Language: Alignment-Based Learning". 2002.

MA in computational linguistics. University of Amsterdam, Amsterdam, the Netherlands. "Publishing and Translation - Problems and Solutions". 1998.

MSc in computer science. Vrije Universiteit, Amsterdam, the Netherlands. "Error Correction using DOP". 1997.

Career

Assistant professor;
School of Humanities,
Tilburg University, Tilburg, the Netherlands,
September 2009-now.

Researcher (researching implicit structure in sequences) and lecturer;
Implicit linguistics project,
ILK/Computational Linguistics,
Tilburg University, Tilburg, the Netherlands,
January 2008-August 2009.

Research fellow (applying symbolic machine learning to question answering);
AnswerFinder project,
Centre for Language Technology,
Macquarie University, North Ryde, Australia,
November 2004-December 2007.

Research fellow (researching information retrieval in text and images);
ToKeN2000 project,
ILK/Computational Linguistics,
Tilburg University, Tilburg, the Netherlands,
November 2002-October 2004.

Research fellow (researching structure in different modalities);
Cognitive Systems and Information Processing project,
ILLC, University of Amsterdam, Amsterdam, the Netherlands,
November 2001-October 2002.

Publications

Most recent publications

Zaanen, M. van, Gaustad, T., & Feijen, J. (2011). Influence of Size on Pattern-based Sequence Classification. In P. van der Putten, C. Veenman, Joaquin Vanschoren, Menno Israel, & Hendrik Blockeel (Eds.), Proceedings of the 20th Belgian Dutch Conference on Machine Learning 2011 (pp. 53-60). The Hague: s.n. Further information
Katrenko, S., & Zaanen, M. van (2010). Rademacher complexity and grammar induction algorithms: What it may (not) tell us. In J. Sempere & P. Garcia (Eds.), Grammatica inference: Theoretical results and applications (pp. 293-296). Berlin/Heidelberg: Springer. (Lecture Notes in Artificial Intelligence, 6339). Further information
Stehouwer, J.H., & Zaanen, M. van (2010). Using suffixarrays as language models: Scaling the n-gram. 22nd Benelux Conference on Artificial Intelligence (BNAIC) (pp. 1-8). Tilburg: TiCC. Further information
Stehouwer, J.H., & Zaanen, M. van (2010). Enhanced suffix arrays as language models: Virtual k-testable languages. In J. Sempere & P. Garcia (Eds.), Grammatical inference: Theoretical results and applications (pp. 305-308). Berlin/Heidelberg: Springer. (Lecture Notes in Computer Science, 6339). Further information
Stehouwer, J.H., & Zaanen, M. van (2010). Enhanced suffix arrays as language models: Virtual k-testable languages. The International Multiconference on Computer Science and Information Technology (pp. 505-511). Gdansk: IEEE Computer Society. Further information