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Wittek, A. (1998). Learning verb meaning via adverbial modification: Change-of-state verbs in German and the adverb "wieder" again. In A. Greenhill, M. Hughes, H. Littlefield, & H. Walsh (
Eds. ), Proceedings of the 22nd Annual Boston University Conference on Language Development (pp. 779-790). Somerville, MA: Cascadilla Press. -
Wittenburg, P. (2004). The IMDI metadata concept. In S. F. Ferreira (
Ed. ), Workingmaterial on Building the LR&E Roadmap: Joint COCOSDA and ICCWLRE Meeting, (LREC2004). Paris: ELRA - European Language Resources Association. -
Wittenburg, P., Brugman, H., Broeder, D., & Russel, A. (2004). XML-based language archiving. In Workshop Proceedings on XML-based Richly Annotaded Corpora (LREC2004) (pp. 63-69). Paris: ELRA - European Language Resources Association.
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Wittenburg, P., Gulrajani, G., Broeder, D., & Uneson, M. (2004). Cross-disciplinary integration of metadata descriptions. In M. Lino, M. Xavier, F. Ferreira, R. Costa, & R. Silva (
Eds. ), Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC2004) (pp. 113-116). Paris: ELRA - European Language Resources Association. -
Wittenburg, P., Johnson, H., Buchhorn, M., Brugman, H., & Broeder, D. (2004). Architecture for distributed language resource management and archiving. In M. Lino, M. Xavier, F. Ferreira, R. Costa, & R. Silva (
Eds. ), Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC2004) (pp. 361-364). Paris: ELRA - European Language Resources Association. -
Wittenburg, P., van Kuijk, D., & Dijkstra, T. (1996). Modeling human word recognition with sequences of artificial neurons. In C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, & B. Sendhoff (
Eds. ), Artificial Neural Networks — ICANN 96. 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings (pp. 347-352). Berlin: Springer.Abstract
A new psycholinguistically motivated and neural network based model of human word recognition is presented. In contrast to earlier models it uses real speech as input. At the word layer acoustical and temporal information is stored by sequences of connected sensory neurons which pass on sensor potentials to a word neuron. In experiments with a small lexicon which includes groups of very similar word forms, the model meets high standards with respect to word recognition and simulates a number of wellknown psycholinguistical effects. -
Zhang, Y., & Yu, C. (2017). How misleading cues influence referential uncertainty in statistical cross-situational learning. In M. LaMendola, & J. Scott (
Eds. ), Proceedings of the 41st Annual Boston University Conference on Language Development (BUCLD 41) (pp. 820-833). Boston, MA: Cascadilla Press. -
De Zubicaray, G., & Fisher, S. E. (
Eds. ). (2017). Genes, brain and language [Special Issue]. Brain and Language, 172.
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