scholarly journals Grammatical category and the neural processing of phrases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amelia Burroughs ◽  
Nina Kazanina ◽  
Conor Houghton
Keyword(s):  
Language Processing ◽  
Semantic Processing ◽  
Grammatical Category ◽  
Hierarchical Processing ◽  
Category Information ◽  
Word Level ◽  
Monosyllabic Words ◽  
The Subject ◽  
Human Participants ◽  
Cortical Entrainment

AbstractThe interlocking roles of lexical, syntactic and semantic processing in language comprehension has been the subject of longstanding debate. Recently, the cortical response to a frequency-tagged linguistic stimulus has been shown to track the rate of phrase and sentence, as well as syllable, presentation. This could be interpreted as evidence for the hierarchical processing of speech, or as a response to the repetition of grammatical category. To examine the extent to which hierarchical structure plays a role in language processing we recorded EEG from human participants as they listen to isochronous streams of monosyllabic words. Comparing responses to sequences in which grammatical category is strictly alternating and chosen such that two-word phrases can be grammatically constructed——or is absent——showed cortical entrainment at the two-word phrase rate was only present in the grammatical condition. Thus, grammatical category repetition alone does not yield entertainment at higher level than a word. On the other hand, cortical entrainment was reduced for the mixed-phrase condition that contained two-word phrases but no grammatical category repetition——which is not what would be expected if the measured entrainment reflected purely abstract hierarchical syntactic units. Our results support a model in which word-level grammatical category information is required to build larger units.

scholarly journals Grammatical category and the neural processing of phrases

2020 ◽  
Author(s):  
Amelia Burroughs ◽  
Nina Kazanina ◽  
Conor Houghton
Keyword(s):  
Language Processing ◽  
Semantic Processing ◽  
Grammatical Category ◽  
Hierarchical Processing ◽  
Word Level ◽  
Monosyllabic Words ◽  
The Subject ◽  
Cold Food ◽  
Human Participants ◽  
Cortical Entrainment

AbstractThe interlocking roles of lexical, syntactic and semantic processing in language comprehension has been the subject of longstanding debate. Recently, the cortical response to a frequency-tagged linguistic stimulus has been shown to track the rate of phrase and sentence, as well as syllable, presentation. This could be interpreted as evidence for the hierarchical processing of speech, or as a response to the repetition of grammatical category. To examine the extent to which hierarchical structure plays a role in language processing we recorded EEG from human participants as they listen to isochronous streams of monosyllabic words. Comparing responses to sequences in which grammatical category is strictly alternating and chosen such that two-word phrases can be grammatically constructed — cold food loud room — or is absent — rough give ill tell — showed cortical entrainment at the two-word phrase rate was only present in the grammatical condition. Thus, grammatical category repetition alone does not yield entertainment at higher level than a word. On the other hand, cortical entrainment was reduced for the mixed-phrase condition that contained two-word phrases but no grammatical category repetition — that word send less — which is not what would be expected if the measured entrainment reflected purely abstract hierarchical syntactic units. Our results support a model in which word-level grammatical category information is required to build larger units.

A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old.

2021 ◽  
Author(s):  
Jin Wang ◽  
Marisa N. Lytle ◽  
Yael Weiss ◽  
Brianna L. Yamasaki ◽  
James R. Booth
Keyword(s):  
Language Processing ◽  
Semantic Processing ◽  
Longitudinal Design ◽  
Word Level ◽  
Sentence Level ◽  
Multiple Imaging ◽  
Educational Assessments ◽  
Magnetic Resonance Imaging Mri ◽  
Changes Over Time ◽  
Brain Behavior

This dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-year-old children (ses-5) and followed them up when they were 7-8 years old (ses-7) and then again at 8.5-10 years old (ses-9). To increase the sample size at the older time points, another cohort of 7-8-year-old children (ses-7) were recruited and followed up when they were 8.5-10 years old (ses-9). In total, 322 children who completed at least one structural and functional scan were included. Children performed four fMRI tasks consisting of two word-level tasks examining phonological and semantic processing and two sentence-level tasks investigating semantic and syntactic processing. The MRI data is valuable for examining changes over time in interactive specialization due to the use of multiple imaging modalities and tasks in this longitudinal design. In addition, the extensive psycho-educational assessments and questionnaires provide opportunities to explore brain-behavior and brain-environment associations.

scholarly journals A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old

2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Jin Wang ◽  
Marisa N. Lytle ◽  
Yael Weiss ◽  
Brianna L. Yamasaki ◽  
James R. Booth
Keyword(s):  
Language Processing ◽  
Semantic Processing ◽  
Longitudinal Design ◽  
Word Level ◽  
Sentence Level ◽  
Multiple Imaging ◽  
Educational Assessments ◽  
Magnetic Resonance Imaging Mri ◽  
Changes Over Time ◽  
Brain Behavior

AbstractThis dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-year-old children (ses-5) and followed them up when they were 7-8 years old (ses-7) and then again at 8.5-10 years old (ses-9). To increase the sample size at the older time points, another cohort of 7-8-year-old children (ses-7) were recruited and followed up when they were 8.5–10 years old (ses-9). In total, 322 children who completed at least one structural and functional scan were included. Children performed four fMRI tasks consisting of two word-level tasks examining phonological and semantic processing and two sentence-level tasks investigating semantic and syntactic processing. The MRI data is valuable for examining changes over time in interactive specialization due to the use of multiple imaging modalities and tasks in this longitudinal design. In addition, the extensive psycho-educational assessments and questionnaires provide opportunities to explore brain-behavior and brain-environment associations.

Predicting the citation and impact factor of terms for scientific publications using machine learning algorithms

2020 ◽  
Author(s):  
Aleksey Klokov ◽  
Evgenii Slobodyuk ◽  
Michael Charnine
Keyword(s):  
Machine Learning ◽  
Semantic Processing ◽  
The Body ◽  
Machine Learning Algorithms ◽  
Scientific Publications ◽  
Text Data ◽  
Semantic Relationships ◽  
Subject Areas ◽  
The Subject ◽  
Scientific Environment

The object of the research when writing the work was the body of text data collected together with the scientific advisor and the algorithms for processing the natural language of analysis. The stream of hypotheses has been tested against computer science scientific publications through a series of simulation experiments described in this dissertation. The subject of the research is algorithms and the results of the algorithms, aimed at predicting promising topics and terms that appear in the course of time in the scientific environment. The result of this work is a set of machine learning models, with the help of which experiments were carried out to identify promising terms and semantic relationships in the text corpus. The resulting models can be used for semantic processing and analysis of other subject areas.

scholarly journals Nonverbal Semantics Test (NVST)—A Novel Diagnostic Tool to Assess Semantic Processing Deficits: Application to Persons with Aphasia after Cerebrovascular Accident

2021 ◽  
Vol 11 (3) ◽  
pp. 359
Author(s):  
Katharina Hogrefe ◽  
Georg Goldenberg ◽  
Ralf Glindemann ◽  
Madleen Klonowski ◽  
Wolfram Ziegler
Keyword(s):  
Language Processing ◽  
Cerebrovascular Accident ◽  
Semantic Processing ◽  
Factor Model ◽  
Principal Component ◽  
Original Data ◽  
Verbal Abilities ◽  
Verbal Tasks ◽  
Alternative Means ◽  
The Relationship

Assessment of semantic processing capacities often relies on verbal tasks which are, however, sensitive to impairments at several language processing levels. Especially for persons with aphasia there is a strong need for a tool that measures semantic processing skills independent of verbal abilities. Furthermore, in order to assess a patient’s potential for using alternative means of communication in cases of severe aphasia, semantic processing should be assessed in different nonverbal conditions. The Nonverbal Semantics Test (NVST) is a tool that captures semantic processing capacities through three tasks—Semantic Sorting, Drawing, and Pantomime. The main aim of the current study was to investigate the relationship between the NVST and measures of standard neurolinguistic assessment. Fifty-one persons with aphasia caused by left hemisphere brain damage were administered the NVST as well as the Aachen Aphasia Test (AAT). A principal component analysis (PCA) was conducted across all AAT and NVST subtests. The analysis resulted in a two-factor model that captured 69% of the variance of the original data, with all linguistic tasks loading high on one factor and the NVST subtests loading high on the other. These findings suggest that nonverbal tasks assessing semantic processing capacities should be administered alongside standard neurolinguistic aphasia tests.

scholarly journals Implicit Semantic Processing of Linguistic and Non-linguistic Stimuli in Adults with Autism Spectrum Disorder

2021 ◽  
Author(s):  
Emme O’Rourke ◽  
Emily L. Coderre
Keyword(s):  
Autism Spectrum Disorder ◽  
Language Processing ◽  
Semantic Processing ◽  
Autistic Traits ◽  
Autism Spectrum ◽  
Event Related Potential ◽  
Spectrum Disorder ◽  
Adults With Autism ◽  
Priming Task ◽  
Adults With Asd

AbstractWhile many individuals with autism spectrum disorder (ASD) experience difficulties with language processing, non-linguistic semantic processing may be intact. We examined neural responses to an implicit semantic priming task by comparing N400 responses—an event-related potential related to semantic processing—in response to semantically related or unrelated pairs of words or pictures. Adults with ASD showed larger N400 responses than typically developing adults for pictures, but no group differences occurred for words. However, we also observed complex modulations of N400 amplitude by age and by level of autistic traits. These results offer important implications for how groups are delineated and compared in autism research.

More on Brain and Semiosis: Can We Find a Point in Neuronets?

2021 ◽  
pp. 5-13
Author(s):  
Tatiana V. Chernigovskaya ◽  
Keyword(s):  
Language Processing ◽  
Intelligent Systems ◽  
State Of The Art ◽  
Similar Data ◽  
Direct Testing ◽  
The Subject ◽  
Neurophysiological Basis ◽  
Person Experience ◽  
Cognitive Dimensions ◽  
Human Specific

The paper discusses semiotic aspects of higher human functions and a possibility and relevance of traditional search for their neurophysiological basis. The state of the art on the subject is reviewed and the lack of data on anthropological specificity for reasoning, thinking, language and its AI modeling is highlighted. Experimental neuroscience presumes that if we know the characteristics of neu­rons and their connections, we automatically understand what mind and con­sciousness are. However, it is evident that such a paradigm does not allow us to get relevant answers to the main questions. I argue that the problem should be dealt with not only within the field of neurophysiology proper. Rather, such re­search should involve exploring the 'archeology' of mental processes as they are revealed in arts as well as in other symbolic spaces. The paper discusses the ade­quacy of physiological methodology when it is employed to demonstrate brain mechanisms of higher functions. Besides, I explore the relevance of juxta­posing similar data from other biological and artificial intelligent systems. I view language processing, mind and reasoning and 1st person experience (qualia) as human specific features, and questions the possibility of direct testing these phenomena. The paper links genetic, anthropological and neurophysio­logical data to semiotic activity and semiosphere formation as the basis for com­munication. The paper discusses the place of humans in the changing world in the context of new cognitive dimensions.

scholarly journals Representation of Grammatical Categories of Words in the Brain

1995 ◽  
Vol 7 (3) ◽  
pp. 396-407 ◽  
Author(s):  
Argye E. Hillis ◽  
Alfonso Caramazza
Keyword(s):  
Neural Mechanisms ◽  
Single Patient ◽  
Grammatical Category ◽  
Lexical Knowledge ◽  
Double Dissociation ◽  
Category Information ◽  
Orthographic Representations ◽  
Organizational Principle ◽  
The Brain ◽  
Verbal Output

We report the performance of a patient who, as a consequence of left frontal and temporoparietal strokes, makes far more errors on nouns than on verbs in spoken output tasks, but makes far more errors on verbs than on nouns in written input tasks. This double dissociation within a single patient with respect to grammatical category provides evidence for the hypothesis that phonological and orthographic representations of nouns and verbs are processed by independent neural mechanisms. Furthermore, the opposite dissociation in the verbal output modality, an advantage for nouns over verbs in spoken tasks, by a different patient using the same stimuli has also been reported (Caramazza & Hillis, 1991). This double dissociation across patients on the same task indicates that results cannot be ascribed to "greater difficulty" with one type of stimulus, and provides further evidence for the view that grammatical category information is an important organizational principle of lexical knowledge in the brain.

scholarly journals Language beyond the language system: dorsal visuospatial pathways support processing of demonstratives and spatial language during naturalistic fast fMRI

2019 ◽  
Author(s):  
Roberta Rocca ◽  
Kenny R. Coventry ◽  
Kristian Tylén ◽  
Marlene Staib ◽  
Torben E. Lund ◽  
...  
Keyword(s):  
Language Processing ◽  
Information Integration ◽  
Visual Cues ◽  
Reference Frames ◽  
Finite Impulse Response ◽  
Angular Gyrus ◽  
Attentional Orienting ◽  
Word Level ◽  
Pragmatic Inference ◽  
The Right

AbstractSpatial demonstratives are powerful linguistic tools used to establish joint attention. Identifying the meaning of semantically underspecified expressions like “this one” hinges on the integration of linguistic and visual cues, attentional orienting and pragmatic inference. This synergy between language and extralinguistic cognition is pivotal to language comprehension in general, but especially prominent in demonstratives.In this study, we aimed to elucidate which neural architectures enable this intertwining between language and extralinguistic cognition using a naturalistic fMRI paradigm. In our experiment, 28 participants listened to a specially crafted dialogical narrative with a controlled number of spatial demonstratives. A fast multiband-EPI acquisition sequence (TR = 388ms) combined with finite impulse response (FIR) modelling of the hemodynamic response was used to capture signal changes at word-level resolution.We found that spatial demonstratives bilaterally engage a network of parietal areas, including the supramarginal gyrus, the angular gyrus, and precuneus, implicated in information integration and visuospatial processing. Moreover, demonstratives recruit frontal regions, including the right FEF, implicated in attentional orienting and reference frames shifts. Finally, using multivariate similarity analyses, we provide evidence for a general involvement of the dorsal (“where”) stream in the processing of spatial expressions, as opposed to ventral pathways encoding object semantics.Overall, our results suggest that language processing relies on a distributed architecture, recruiting neural resources for perception, attention, and extra-linguistic aspects of cognition in a dynamic and context-dependent fashion.

scholarly journals Task-Dependent Modulation of Regions in the Left Inferior Frontal Cortex during Semantic Processing

2001 ◽  
Vol 13 (6) ◽  
pp. 829-843 ◽  
Author(s):  
A. L. Roskies ◽  
J. A. Fiez ◽  
D. A. Balota ◽  
M. E. Raichle ◽  
S. E. Petersen
Keyword(s):  
Frontal Cortex ◽  
Language Processing ◽  
Semantic Processing ◽  
Semantic Analysis ◽  
Lexical Processing ◽  
Temporal Cortex ◽  
Dependent Manner ◽  
Inferior Frontal Cortex ◽  
Semantic Judgment ◽  
The Right

To distinguish areas involved in the processing of word meaning (semantics) from other regions involved in lexical processing more generally, subjects were scanned with positron emission tomography (PET) while performing lexical tasks, three of which required varying degrees of semantic analysis and one that required phonological analysis. Three closely apposed regions in the left inferior frontal cortex and one in the right cerebellum were significantly active above baseline in the semantic tasks, but not in the nonsemantic task. The activity in two of the frontal regions was modulated by the difficulty of the semantic judgment. Other regions, including some in the left temporal cortex and the cerebellum, were active across all four language tasks. Thus, in addition to a number of regions known to be active during language processing, regions in the left inferior frontal cortex were specifically recruited during semantic processing in a task-dependent manner. A region in the right cerebellum may be functionally related to those in the left inferior frontal cortex. Discussion focuses on the implications of these results for current views regarding neural substrates of semantic processing.

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