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  1. German-speaking children use sentence-initial case marking for predictive language processing at age four.Duygu Özge, Jaklin Kornfilt, Katja Maquate, Aylin C. Küntay & Jesse Snedeker - 2022 - Cognition 221 (C):104988.
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  • Two routes to actorhood: lexicalized potency to act and identification of the actor role.Sabine Frenzel, Matthias Schlesewsky & Ina Bornkessel-Schlesewsky - 2015 - Frontiers in Psychology 6.
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  • Expectation-based syntactic comprehension.Roger Levy - 2008 - Cognition 106 (3):1126-1177.
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  • Negative Transfer Effects on L2 Word Order Processing.Kepa Erdocia & Itziar Laka - 2018 - Frontiers in Psychology 9:345486.
    Does first language (L1) word order affect the processing of non-canonical but grammatical syntactic structures in second language (L2) comprehension? In the present study, we test whether L1-Spanish speakers of L2-Basque process subject–verb–object (SVO) and object–verb–subject (OVS) non-canonical word order sentences of Basque in the same way as Basque native speakers. Crucially, while OVS orders are non-canonical in both Spanish and Basque, SVO is non-canonical in Basque but is the canonical word order in Spanish. Our electrophysiological results showed that the (...)
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  • Hyper-active gap filling.Akira Omaki, Ellen F. Lau, Imogen Davidson White, Myles L. Dakan, Aaron Apple & Colin Phillips - 2015 - Frontiers in Psychology 6.
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  • Investigating locality effects and surprisal in written English syntactic choice phenomena.Rajakrishnan Rajkumar, Marten van Schijndel, Michael White & William Schuler - 2016 - Cognition 155 (C):204-232.
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  • An artificial opposition between grammaticality and frequency: comment on Bornkessel, Schlesewsky, and Friederici.Gerard Kempen & Karin Harbusch - 2003 - Cognition 90 (2):205-210.
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  • Do Grammars Minimize Dependency Length?Daniel Gildea & David Temperley - 2010 - Cognitive Science 34 (2):286-310.
    A well‐established principle of language is that there is a preference for closely related words to be close together in the sentence. This can be expressed as a preference for dependency length minimization (DLM). In this study, we explore quantitatively the degree to which natural languages reflect DLM. We extract the dependencies from natural language text and reorder the words in such a way as to minimize dependency length. Comparing the original text with these optimal linearizations (and also with random (...)
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