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Douglas Roland

Ph.D., University of Colorado, Boulder

Office: 605 Baldy Hall

Phone: (716) 645-0116

Email: droland@buffalo.edu

Research Interests

·         Statistical models of human and machine language processing, especially computational psycholinguistics (computational, probabilistic models of human language processing and learning).

·         Corpus linguistics with a focus on the sources of differences between corpora and how these differences affect statistical language models.

·         Investigation of how the differences between the isolated contexts typically studied in psycholinguistics and the information rich contexts found in normal language use affect the outcome of psycholinguistic experiments (in particular, the effects of semantic, discourse, and prosodic factors that typically operate over larger domains than the single sentence).

Recent Classes

Spring 2013

·         Quantitative Methods in Linguistics - LIN 621

·         Introduction to Linguistic Analysis - LIN 205

Fall 2012

·         Roots of English - LIN 108

·         Corpus Linguistics - LIN 514

Spring 2012

·         Quantitative Methods in Linguistics - LIN 622

·         Graduate Seminar - Neural Networks - LIN 624

Fall 2011

·         Introduction to Cognitive Science - LIN/PSY 342

·         Corpus Linguistics - LIN 514

Spring 2011

·         Roots of English - LIN 108

·         Computational Linguistics - CSE/LIN 467/567

Fall 2010

·         Introduction to Cognitive Science - LIN/PSY 342

·         Computational Psycholinguistics Seminar - LIN 623

Spring 2010

·         Computational Linguistics - CSE/LIN 467/567

·         Quantitative Methods in Linguistics - LIN 622

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 (Submitted). The processing of It object relative clauses: Evidence against a fine-grained frequency account.

·         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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