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Q
M. van Zaanen, Augusto Pizzato, L., and Mollá, D., Question Classification by Structure Induction, in Proceedings of the International Joint Conferences on Artificial Intelligence; Edinburgh, UK, 2005, pp. 1638–1639.
R
S. Katrenko and van Zaanen, M., Rademacher Complexity and Grammar Induction Algorithms: What It May (Not) Tell Us, in Grammatical Inference: Theoretical Results and Applications, vol. 6339, J. Sempere and García, P. Springer Berlin / Heidelberg, 2010, pp. 293-296.
T
B. Starkie, van Zaanen, M., and Estival, D., The Tenjinno Machine Translation Competition, in Eighth International Colloquium on Grammatical Inference, (ICGI); Tokyo, Japan, Berlin Heidelberg, Germany, 2006, pp. 214–226.
M. van Zaanen, Theoretical and Practical Experiences with Alignment-Based Learning, in Proceedings of the Australasian Language Technology Workshop; Melbourne, Australia, 2003, pp. 25–32.
H. Stehouwer and van Zaanen, M., Token merging in language model-based confusible disambiguation, in Proceedings of the twenty-first benelux conference on artificial intelligence, 2009, pp. 241–248.
J. Heinz, de la Higuera, C., and van Zaanen, M., Tutorial Notes–-Formal and Empirical Grammatical Inference. Association for Computational Linguistics, 2011.
U
S. Aussems, Goris, B., Lichtenberg, V., van Noord, N., Smetsers, R., and van Zaanen, M., Unsupervised identication of compounds, in Proceedings of the 22nd Belgian-Dutch Conference on Machine Learning; Nijmegen, The Netherlands, 2013, pp. 18–25.
M. van Zaanen and Zwarts, S., Unsupervised Measurement of Translation Quality Using Multi-engine, Bi-directional Translation, in AI 2006: Advances in Artificial Intelligence, Berlin Heidelberg, Germany, 2006, vol. 4304, pp. 1208–1214.
M. van Zaanen and Zwarts, S., Unsupervised Measurement of Translation Quality Using Multi-engine, Bi-directional Translation, in AI 2006: Advances in Artificial Intelligence, Berlin Heidelberg, Germany, 2006, vol. 4304, pp. 1208–1214.
H. Stehouwer and van Zaanen, M., Using Suffixarrays as Language Models: scaling the n-gram, in Proceedings of the 22nd Benelux Conference on Artificial Intelligence (BNAIC), 2010.

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