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Syntactic dependencies correspond to word pairs with high mutual information
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In: Association for Computational Linguistics (2021)
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Breakdowns in Informativeness of Naturalistic Speech Production in Primary Progressive Aphasia
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In: MDPI (2021)
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Lack of selectivity for syntax relative to word meanings throughout the language network
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In: PMC (2021)
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No evidence for differences among language regions in their temporal receptive windows
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In: Elsevier (2021)
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Comprehension of computer code relies primarily on domain-general executive brain regions
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In: eLife (2021)
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The Small and Efficient Language Network of Polyglots and Hyper-polyglots
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In: bioRxiv (2021)
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Composition is the core driver of the language-selective network
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In: MIT Press (2019)
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Abstract:
The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated. Two key features of sentences are typically confounded in natural linguistic input: words in sentences (a) are semantically and syntactically combinable into phrase- and clause-level meanings, and (b) occur in an order licensed by the language’s grammar. Inspired by recent psycholinguistic work establishing that language processing is robust to word order violations, we hypothesized that the core linguistic computation is composition, and, thus, can take place even when the word order violates the grammatical constraints of the language. This hypothesis predicts that a linguistic string should elicit a sentence-level response in the language network provided that the words in that string can enter into dependency relationships as in typical sentences. We tested this prediction across two fMRI experiments (total N = 47) by introducing a varying number of local word swaps into naturalistic sentences, leading to progressively less syntactically well-formed strings. Critically, local dependency relationships were preserved because combinable words remained close to each other. As predicted, word order degradation did not decrease the magnitude of the blood oxygen level–dependent response in the language network, except when combinable words were so far apart that composition among nearby words was highly unlikely. This finding demonstrates that composition is robust to word order violations, and that the language regions respond as strongly as they do to naturalistic linguistic input, providing that composition can take place. ; National Institutes of Health: (R00-HD-057522, R01-DC-016607 and R01-DC016950)
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URL: https://hdl.handle.net/1721.1/126576
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Toward a universal decoder of linguistic meaning from brain activation
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In: Nature Communications (2018)
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Tracking Colisteners’ Knowledge States During Language Comprehension
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In: Prof. Gibson via Courtney Crummett (2018)
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Neural correlate of the construction of sentence meaning
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In: PNAS (2016)
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Processing temporal presuppositions: an event-related potential study
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In: Prof. Gibson via Courtney Crummett (2016)
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Don’t Underestimate the Benefits of Being Misunderstood
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In: Prof. Gibson via Courtney Crummett (2016)
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Accommodating Presuppositions Is Inappropriate in Implausible Contexts
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In: Prof. Gibson via Courtney Crummett (2014)
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The interaction of syntactic and lexical information sources in language processing: The case of the noun-verb ambiguity
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In: Gibson via Courtney Crummett (2012)
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Processing relative clauses in supportive contexts
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In: Gibson via Courtney Crummett (2011)
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Some Regions within Broca's Area Do Respond More Strongly to Sentences than to Linguistically Degraded Stimuli: A Comment on Rogalsky and Hickok (2011)
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In: MIT Press (2011)
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Functional specificity for high-level linguistic processing in the human brain
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In: PNAS (2011)
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The need for quantitative methods in syntax and semantics research
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In: Gibson via Courtney Crummett (2010)
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Language processing in the occipital cortex of congenitally blind
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In: PNAS (2010)
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Weak Quantitative Standards in Linguistics Research ; Trends in Cognitive Science
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In: Prof. Gibson (2010)
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