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Douglas Roland

Ph.D., University of Colorado, Boulder

I am now at Waseda University


Current Webpage

Research Interests

         The main goal of my research is to understand how the human mind produces and comprehends language. I am interested in cognitive factors such as the sources of difficulty during language comprehension and the nature of the mental representations used by comprehenders, as well as methodological factors, such as how different experimental methodologies (e.g., data from eye movement studies vs. data from the self-paced reading paradigm) influence the resulting data. I am also interested in how the differences between the ways in which language is used in typical laboratory experiments and in naturally occurring contexts affect investigators’ results. In order to carry out this research, I use a variety of tools including psycholinguistic experimentation, eye movement data, computational modeling, and corpus analysis.

Representative Publications

Please see my Publications and Presentations page for a more complete list of publications and for preprints.

·         Heider, Paul, Jeruen Dery, and Douglas Roland (2014). The processing of it object relative clauses: Evidence against a fine-grained frequency account. The Journal of Memory and Language 75, p 58-76.

·         Roland, Douglas and Mary Hare (2012). Computational and Corpus Models of Human Sentence Comprehension. In Michael J. Spivey, Ken McRae, and Marc F. Joanisse, (Eds.), The Cambridge Handbook of Psycholinguistics, Cambridge University Press. Pages 390-405.

·         Roland, Douglas, Gail Mauner, Carolyn O'Meara, and Hongoak Yun (2012). Discourse expectations and relative clause processing. Journal of Memory and Language 66(3), p 479-508.

·         Roland, Douglas, Hongoak Yun, Jean-Pierre Koenig and Gail Mauner (2012). Semantic Similarity, Predictability, and Models of Sentence Processing. Cognition 122(3), p 267-279.

·         Roland, Douglas, Frederic Dick, and Jeffrey L. Elman (2007). Frequency of basic English grammatical structures: A corpus analysis. Journal of Memory and Language 57(3) p 348-379.

·         Roland, Douglas, Jeffrey L. Elman, Victor S. Ferreira (2006). Why is that? Structural prediction and ambiguity resolution in a very large corpus of English sentences. Cognition 98 p 245-272.

·         Gahl, Susanne, Dan Jurafsky, Douglas Roland (2004). Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons. Behavior Research Methods, Instruments, and Computers 36(3) p 432-443.

·         Roland, Douglas and Daniel Jurafsky. (2002). Verb sense and verb subcategorization probabilities. In Paola Merlo and Suzanne Stevenson (Eds), The Lexical Basis of Sentence Processing: Formal, Computational, and Experimental Issues, John Benjamins.

·         Roland, Douglas, Daniel Jurafsky, Lise Menn, Susanne Gahl, Elizabeth Elder and Chris Riddoch. (2000). Verb subcategorization frequency differences between business-news and balanced corpora: the role of verb sense. In Proceedings of the Workshop on Comparing Corpora, pages 28-34, Hong Kong, October.

·         Roland, Douglas and Daniel Jurafsky. (1998). How verb subcategorization frequencies are affected by corpus choice. Proceedings of COLING-ACL 1998. p 1117-1121.

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