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Chris Donlan - One of the best experts on this subject based on the ideXlab platform.
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deductive reasoning in children with specific language impairment
British Journal of Development Psychology, 2010Co-Authors: Elizabeth Newton, Maxwell J Roberts, Chris DonlanAbstract:The diagnosis of specific language impairment (SLI) requires non-verbal ability to be in the normal range, but little is known regarding the extent to which general reasoning skills are preserved during development. A total of 122 children were tested; 40 SLI, 42 age-matched controls, and 40 younger language-matched controls. Deductive reasoning tasks were given in both verbal and pictorial presentation types, namely the relational inference task and the reduced array selection task (RAST). Pictorial presentation facilitated all groups for all tasks equally. For the relational inference task, SLI performance was below both age and language matches. For the RAST, contextual information facilitated all groups equally. SLI performance was intermediate between age and language matches. It is concluded that the non-verbal versus verbal distinction is a complex one and that non-verbal reasoning can draw upon Linguistic Processes. It is also suggested that SLI reasoning depends upon precise task demands, here the need to sequence information in working memory, and the need for explicit reasoning with conditional rules. Reasoning Processes may not be equivalent to normally developing children, even when tasks appear non-verbal.
Francoise Vitu - One of the best experts on this subject based on the ideXlab platform.
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Linguistic Processes do not beat visuo motor constraints but they modulate where the eyes move regardless of word boundaries evidence against top down word based eye movement control during reading
PLOS ONE, 2019Co-Authors: Claire Albrengues, Frederic Lavigne, Carlos Aguilar, Eric Castet, Francoise VituAbstract:Where readers move their eyes, while proceeding forward along lines of text, has long been assumed to be determined in a top-down word-based manner. According to this classical view, readers of alphabetic languages would invariably program their saccades towards the center of peripheral target words, as selected based on the (expected) needs of ongoing (word-identification) processing, and the variability in within-word landing positions would exclusively result from systematic and random errors. Here we put this predominant hypothesis to a strong test by estimating the respective influences of language-related variables (word frequency and word predictability) and lower-level visuo-motor factors (word length and saccadic launch-site distance to the beginning of words) on both word-skipping likelihood and within-word landing positions. Our eye-movement data were collected while forty participants read 316 pairs of sentences, that differed only by one word, the prime; this was either semantically related or unrelated to a following test word of variable frequency and length. We found that low-level visuo-motor variables largely predominated in determining which word would be fixated next, and where in a word the eye would land. In comparison, language-related variables only had tiny influences. Yet, Linguistic variables affected both the likelihood of word skipping and within-word initial landing positions, all depending on the words’ length and how far on average the eye landed from the word boundaries, but pending the word could benefit from peripheral preview. These findings provide a strong case against the predominant word-based account of eye-movement guidance during reading, by showing that saccades are primarily driven by low-level visuo-motor Processes, regardless of word boundaries, while being overall subject to subtle, one-off, language-based modulations. Our results also suggest that overall distributions of saccades’ landing positions, instead of truncated within-word landing-site distributions, should be used for a better understanding of eye-movement guidance during reading.
Kumiko Tanakaishii - One of the best experts on this subject based on the ideXlab platform.
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long range correlation underlying childhood language and generative models
Frontiers in Psychology, 2018Co-Authors: Kumiko TanakaishiiAbstract:Long-range correlation, a property of time series exhibiting long-term memory, is mainly studied in the statistical physics domain and has been reported to exist in natural language. Using a state-of-the-art method for such analysis, long-range correlation is first shown to occur in long CHILDES data sets. To understand why, Bayesian generative models of language, originally proposed in the cognitive scientific domain, are investigated. Among representative models, the Simon model was found to exhibit surprisingly good long-range correlation, but {\em not} the Pitman-Yor model. Since the Simon model is known not to correctly reflect the vocabulary growth of natural language, a simple new model is devised as a conjunct of the Simon and Pitman-Yor models, such that long-range correlation holds with a correct vocabulary growth rate. The investigation overall suggests that uniform sampling is one cause of long-range correlation and could thus have a relation with actual Linguistic Processes.
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long range correlation underlying childhood language and generative models
arXiv: Computation and Language, 2017Co-Authors: Kumiko TanakaishiiAbstract:Long-range correlation, a property of time series exhibiting long-term memory, is mainly studied in the statistical physics domain and has been reported to exist in natural language. Using a state-of-the-art method for such analysis, long-range correlation is first shown to occur in long CHILDES data sets. To understand why, Bayesian generative models of language, originally proposed in the cognitive scientific domain, are investigated. Among representative models, the Simon model was found to exhibit surprisingly good long-range correlation, but not the Pitman-Yor model. Since the Simon model is known not to correctly reflect the vocabulary growth of natural language, a simple new model is devised as a conjunct of the Simon and Pitman-Yor models, such that long-range correlation holds with a correct vocabulary growth rate. The investigation overall suggests that uniform sampling is one cause of long-range correlation and could thus have a relation with actual Linguistic Processes.
Elizabeth Newton - One of the best experts on this subject based on the ideXlab platform.
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deductive reasoning in children with specific language impairment
British Journal of Development Psychology, 2010Co-Authors: Elizabeth Newton, Maxwell J Roberts, Chris DonlanAbstract:The diagnosis of specific language impairment (SLI) requires non-verbal ability to be in the normal range, but little is known regarding the extent to which general reasoning skills are preserved during development. A total of 122 children were tested; 40 SLI, 42 age-matched controls, and 40 younger language-matched controls. Deductive reasoning tasks were given in both verbal and pictorial presentation types, namely the relational inference task and the reduced array selection task (RAST). Pictorial presentation facilitated all groups for all tasks equally. For the relational inference task, SLI performance was below both age and language matches. For the RAST, contextual information facilitated all groups equally. SLI performance was intermediate between age and language matches. It is concluded that the non-verbal versus verbal distinction is a complex one and that non-verbal reasoning can draw upon Linguistic Processes. It is also suggested that SLI reasoning depends upon precise task demands, here the need to sequence information in working memory, and the need for explicit reasoning with conditional rules. Reasoning Processes may not be equivalent to normally developing children, even when tasks appear non-verbal.
Stephen M Wilson - One of the best experts on this subject based on the ideXlab platform.
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Convergence of spoken and written language processing in the superior temporal sulcus
NeuroImage, 2018Co-Authors: Stephen M Wilson, Amando Bautista, Angelica MccarronAbstract:Spoken and written language processing streams converge in the superior temporal sulcus (STS), but the functional and anatomical nature of this convergence is not clear. We used functional MRI to quantify neural responses to spoken and written language, along with unintelligible stimuli in each modality, and employed several strategies to segregate activations on the dorsal and ventral banks of the STS. We found that intelligible and unintelligible inputs in both modalities activated the dorsal bank of the STS. The posterior dorsal bank was able to discriminate between modalities based on distributed patterns of activity, pointing to a role in encoding of phonological and orthographic word forms. The anterior dorsal bank was agnostic to input modality, suggesting that this region represents abstract lexical nodes. In the ventral bank of the STS, responses to unintelligible inputs in both modalities were attenuated, while intelligible inputs continued to drive activation, indicative of higher level semantic and syntactic processing. Our results suggest that the processing of spoken and written language converges on the posterior dorsal bank of the STS, which is the first of a heterogeneous set of language regions within the STS, with distinct functions spanning a broad range of Linguistic Processes.
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beyond superior temporal cortex intersubject correlations in narrative speech comprehension
Cerebral Cortex, 2008Co-Authors: Stephen M Wilson, Istvan MolnarszakacsAbstract:The role of superior temporal cortex in speech comprehension is well established, but the complete network of regions involved in understanding language in ecologically valid contexts is less clearly understood. In a functional magnetic resonance imaging (fMRI) study, we presented 24 subjects with auditory or audiovisual narratives, and used model-free intersubject correlational analyses to reveal brain areas that were modulated in a consistent way across subjects during the narratives. Conventional comparisons to a resting state were also performed. Both analyses showed the expected recruitment of superior temporal areas, however, the intersubject correlational analyses also revealed an extended network of areas involved in narrative speech comprehension. Two findings stand out in particular. Firstly, many areas in the ‘‘default mode’’ network (typically deactivated relative to rest) were systematically modulated by the time-varying properties of the auditory or audiovisual input. These areas included the anterior cingulate and adjacent medial frontal cortex, and the posterior cingulate and adjacent precuneus. Secondly, extensive bilateral inferior frontal and premotor regions were implicated in auditory as well as audiovisual language comprehension. This extended network of regions may be important for higher-level Linguistic Processes, and interfaces with extraLinguistic cognitive, affective, and interpersonal systems.