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Prominence and coherence in a Bayesian theory of pronoun interpretation
A standard assumption in linguistic and psycholinguistic research on pronoun use is that production and interpretation are guided by the same set of contextual factors. Kehler et al.
Andrew Kehler, Hannah Rohde
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Linguistic experience affects pronoun interpretation
Journal of Memory and Language, 2018We test the hypothesis that language experience influences the cognitive mechanisms used to interpret ambiguous pronouns like he or she, which require the context for interpretation.
Jennifer E Arnold, Heeju Hwang
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Studia Linguistica, 1996
Abstract. In this paper we point out that in a wide variety of languages, reflexive anaphors seem sensitive to Principle B when they are morphologically simple. While this is now acknowledged by many linguists, we show that (further), when reflexive anaphors in these languages are morphologically complex, they still contain a pronominal element which ...
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Abstract. In this paper we point out that in a wide variety of languages, reflexive anaphors seem sensitive to Principle B when they are morphologically simple. While this is now acknowledged by many linguists, we show that (further), when reflexive anaphors in these languages are morphologically complex, they still contain a pronominal element which ...
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Cataphoric pronoun resolution in native and non-native sentence comprehension
Journal of Memory and Language, 2018Encountering a cataphoric pronoun triggers a search for a suitable referent. Previous research indicates that this search is constrained by binding Condition C, which prohibits coreference between a cataphoric pronoun and a referential expression within ...
J. Drummer, C. Felser
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ACM SIGART Bulletin, 1977
Two approaches to the problem of pronoun resolution are presented. The first is a naive algorithm that works by traversing the surface parse trees of the sentences of the text in a particular order looking for noun phrases of the correct gender and number.
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Two approaches to the problem of pronoun resolution are presented. The first is a naive algorithm that works by traversing the surface parse trees of the sentences of the text in a particular order looking for noun phrases of the correct gender and number.
openaire +1 more source

