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One model for the learning of language.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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One model for the learning of language
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In: Proc Natl Acad Sci U S A (2022)
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The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
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In: Springer Netherlands (2020)
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Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians
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In: Sci Adv (2020)
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Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012)
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In: Other repository (2019)
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Abstract:
© The Author 2017. Published by Oxford University Press. All rights reserved. Hackl, Koster-Hale & Varvoutis (2012; hereafter HKV) provide data that suggest that in a null context, antecedent-contained deletion (ACD) relative clause structures modifying a quantified object noun phrase (NP) are easier to process than those modifying a definite object NP. HKV argue that this pattern of results supports a quantifier-raising (QR) analysis of both ACD structures and quantified NPs in object position: under the account they advocate, both ACD resolution and quantified NPs in object position require movement of the object NP to a higher syntactic position. The processing advantage for quantified object NPs in ACD is hypothesized to derive from the fact that-at the point where ACD resolution must take place-the quantified NP has already undergone QR, whereas this is not the case for definite NPs. Here, we question these conclusions. In particular, our analyses of HKV's reading time data reveal several unreported choice points, errors and concerns regarding multiple comparisons in the original HKV data analysis. Importantly, most other plausible ways to analyze these data that we describe here result in the crucial interaction being non-significant. Putting this observation together with the failure to observe the crucial interaction in Gibson & Levy (2016), we conclude that the experiments reported by HKV should not be viewed as providing evidence for the ACD quantifier-raising processing effect.
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URL: https://hdl.handle.net/1721.1/135763
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Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
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Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
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Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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Word Forms Are Structured for Efficient Use
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In: Prof. Gibson via Courtney Crummett (2018)
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Color naming across languages reflects color use
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In: National Academy of Sciences (2018)
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Words cluster phonetically beyond phonotactic regularities
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In: Prof. Gibson via Courtney Crummett (2017)
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Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
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In: Prof. Gibson via Courtney Crummett (2016)
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A Corpus Investigation of Syntactic Embedding in Piraha
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In: PLoS (2015)
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