Category Archives: Uncategorized

Prof. Parker publishes in Glossa

Prof. Parker just published a new paper in the open-source journal Glossaa journal of general linguistics. The paper is titled “A memory-based explanation of antecedent-ellipsis mismatches: New insights from computational modeling“, and is part of a special issue on Experimental and Corpus-based approaches to ellipsis. The paper argues that the variability acceptability observed for antecedent-ellipsis mismatches can be accounted for by independently-motivated memory retrieval mechanisms.

Prof. Parker presents research at CUNY

Prof. Parker will be heading to UC Davis March 14-17 to give a talk at the 31st Annual CUNY Human Sentence Processing Conference. His talk is titled “A multi-dimensional view of NPI licensing”, and will present new research showing that real-time Negative Polarity Item (NPI) licensing is driven by semantic and pragmatic conditions, and must involve more than a simple syntactic feature matching process as previously assumed.

Prof. Parker publishes new article in Journal of Memory and Language

Prof. Dan Parker published a new article in Journal of Memory and Language. The paper “Processing multiple gap dependencies: Forewarned is forearmed” investigates the processing of sentences with across-the-board (ATB) extraction to better understand the mechanisms of syntactic prediction in sentence comprehension.

Parker, D. 2017. Processing multiple gap dependencies: Forewarned is forearmed. Journal of Memory and Language, 97, 175-186. [pdf]

Dan Parker awarded teaching fellowship!

Congratulations to Prof. Dan Parker who was award a Taylor Reveley, III Interdisciplinary Faculty Fellowship for the next three year period. The fellowship is funded by a grant from the Andrew W. Mellon Foundation in honor of William & Mary’s President W. Taylor Reveley, III. Fellowships were awarded in pairs, and Parker will collaborate with Prof. Maurits van der Veen from the Government Department to develop a new course on “Language and text analysis in a world of big data”. The course will teach students about the successes and failures of big data and provide them with hands-on experience with big data.