2020
DOI: 10.7717/peerj.10438
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The effect of decay and lexical uncertainty on processing long-distance dependencies in reading

Abstract: To make sense of a sentence, a reader must keep track of dependent relationships between words, such as between a verb and its particle (e.g. turn the music down). In languages such as German, verb-particle dependencies often span long distances, with the particle only appearing at the end of the clause. This means that it may be necessary to process a large amount of intervening sentence material before the full verb of the sentence is known. To facilitate processing, previous studies have shown that readers … Show more

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Cited by 6 publications
(14 citation statements)
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References 59 publications
(117 reference statements)
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“…Particle verbs and similar complex predicate constructions have previously been used to investigate the presence of long-distance lexical predictions in Dutch (Piai et al, 2013), Hindi (Husain et al, 2014), Persian (Safavi et al, 2016), and German (Stone et al, 2020).…”
Section: Lexical Prediction In Verb-particle Constructionsmentioning
confidence: 99%
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“…Particle verbs and similar complex predicate constructions have previously been used to investigate the presence of long-distance lexical predictions in Dutch (Piai et al, 2013), Hindi (Husain et al, 2014), Persian (Safavi et al, 2016), and German (Stone et al, 2020).…”
Section: Lexical Prediction In Verb-particle Constructionsmentioning
confidence: 99%
“…In reading time studies of Hindi and Persian, it was found that distance, the strength of the predictability of the head-final verb, and the type of intervening information may determine whether or not a lexical prediction is made and whether it can be maintained to facilitate reading (Husain et al, 2014;Safavi et al, 2016). In German, higher certainty about the identity of a particle facilitated early eye fixation times at the particle, but not self-paced reading times (Stone et al, 2020).…”
Section: Lexical Prediction In Verb-particle Constructionsmentioning
confidence: 99%
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