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  1.  27
    Lexical Predictability During Natural Reading: Effects of Surprisal and Entropy Reduction.Matthew W. Lowder, Wonil Choi, Fernanda Ferreira & John M. Henderson - 2018 - Cognitive Science 42 (S4):1166-1183.
    What are the effects of word-by-word predictability on sentence processing times during the natural reading of a text? Although information complexity metrics such as surprisal and entropy reduction have been useful in addressing this question, these metrics tend to be estimated using computational language models, which require some degree of commitment to a particular theory of language processing. Taking a different approach, this study implemented a large-scale cumulative cloze task to collect word-by-word predictability data for 40 passages and compute surprisal (...)
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  2.  14
    Natural forces as agents: Reconceptualizing the animate–inanimate distinction.Matthew W. Lowder & Peter C. Gordon - 2015 - Cognition 136:85-90.
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    Relative Clause Effects at the Matrix Verb Depend on Type of Intervening Material.Matthew W. Lowder & Peter C. Gordon - 2021 - Cognitive Science 45 (9):e13039.
    Although a large literature demonstrates that object‐extracted relative clauses (ORCs) are harder to process than subject‐extracted relative clauses (SRCs), there is less agreement regarding where during processing this difficulty emerges, as well as how best to explain these effects. An eye‐tracking study by Staub, Dillon, and Clifton (2017) demonstrated that readers experience more processing difficulty at the matrix verb for ORCs than for SRCs when the matrix verb immediately follows the relative clause (RC), but the difficulty is eliminated if a (...)
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