Harald Baayen studied linguistics at the Free University of Amsterdam. In 1989, he completed his Ph.D. thesis on statistical and processing aspects of morphological productivity, with Geert Booij (linguistics) and Richard Gill (statistics) as advisors. From 1990 to 1998, he was a staff member of the Max Planck Institute for Psycholinguistics (MPI) in Nijmegen . Since 1999, he has been affiliated with the Interfaculty Research Unit for Language and Speech of the University of Nijmegen . Since 2003, he has been a research associate of the MPI. His research interests include lexical statistics in literary and linguistic corpus-based computing, general linguistics, morphological theory, and the psycholinguistics of morphological processing in language comprehension and in speech production. He has published in, e.g., Language, Linguistics, Folia Linguistica, Computational Linguistics, Yearbook of Morphology, Computers and the Humanities, Literary and Linguistic Computing, Journal of Quantitative Linguistics, Journal of Memory and Language, Journal of Experimental Psychology, Language and Cognitive Processes, Cognition, Brain and Language, and the Philosophical Transactions of the Royal Society (Series A: Mathematical, Physical and Engineering Sciences). He is the author of a book on the statistics of word frequency distributions, and co-edited a collection of papers on morphological structure in language processing (with Robert Schreuder). Some selected publications include (with Jennifer Hay) “Phonotactics, parsing, and productivity,” in Italian Journal of Linguistics; “Probabilistic approaches to morphology,” in Probabilistic Linguistics (The MIT Press); (with Mirjam Ernestus) “Predicting the unpredictable: Interpreting neutralized segments in Dutch,” in Language, 79; and (with Mirjam Ernestus), “The functionality of incomplete neutralization in Dutch: The case of past-tense formation,” to appear in Laboratory Phonology 8.

Storage and Computation in the Mental Lexicon: An exemplar-based approach | LSA.221
TR 10:10-11:50
Three Week Course | Second Session