A postdoc in our lab, Dario Paape, has had a paper accepted in the MIT Press open access journal Open Mind, which is one of the few serious open access journals available as an outlet for psycholinguists (another is Glossa Psycholinguistics). Unlike many of the so-called open access journals out there, Open Mind is a credible journal, not least because of its editorial board (the editor in chief is none other than Ted Gibson). The review process was as or more thoughtful and more thorough than I have experience in journals like Journal of Memory and Language (definitely a notch over Cognition). I am hopeful that we as a community can break free from these for-profit publishers and move towards open access journals like Open Mind and Glossa Psycholinguistics.
Download preprint from here: https://psyarxiv.com/2ztgw/
Title: Does local coherence lead to targeted regressions and illusions of grammaticality?
Authors: Dario Paape, Shravan Vasishth, and Ralf Engbert
Abstract: Local coherence effects arise when the human sentence processor is
temporarily misled by a locally grammatical but globally ungrammatical
analysis ("The coach smiled at THE PLAYER TOSSED A FRISBEE by the
opposing team"). It has been suggested that such effects occur either
because sentence processing occurs in a bottom-up, self-organized manner
rather than being under constant grammatical supervision (Tabor,
Galantucci, & Richardson, 2004), or because local coherence can
disrupt processing due to readers maintaining uncertainty about previous
input (Levy, 2008). We report the results of an eye-tracking study in
which subjects read German grammatical and ungrammatical sentences that
either contained a locally coherent substring or not and gave binary
grammaticality judgments. In our data, local coherence affected on-line
processing immediately at the point of the manipulation. There was,
however, no indication that local coherence led to illusions of
grammaticality (a prediction of self-organization), and only weak,
inconclusive support for local coherence leading to targeted regressions
to critical context words (a prediction of the uncertain-input
approach). We discuss implications for self-organized and noisy-channel
models of local coherence.
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