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Sita Carraturo – ProQuest LLC, 2024
Noise is a common impedance to easy and accurate speech understanding. In the presence of noise, speech processing mechanisms proceed with partial or ambiguous inputs, and listeners will engage additional cognitive resources to make sense of what they hear. The extent to which this is situation is affected by diminished exposure to a language is…
Descriptors: Bilingualism, Listening, Acoustics, Language Processing
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Yanjun Liu; Feng Xiao – Journal of Psycholinguistic Research, 2024
Previous studies on L2 (i.e., second language) Chinese compound processing have focused on the relative efficiency of two routes: holistic processing versus combinatorial processing. However, it is still unclear whether Chinese compounds are processed with multilevel representations among L2 learners due to the hierarchical structure of the…
Descriptors: Bilingualism, Chinese, Orthographic Symbols, Phonological Awareness
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Nga Than; Leanne Fan; Tina Law; Laura K. Nelson; Leslie McCall – Sociological Methods & Research, 2025
Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…
Descriptors: Artificial Intelligence, Coding, Qualitative Research, Cues
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Analí Rosa Taboh; Diego Edgar Shalom; Belén Alvares; Carolina Andrea Gattei – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Children with hearing loss (CHL) who use hearing devices (cochlear implants or hearing aids) and communicate orally have trouble comprehending sentences with noncanonical order. This study explores sentence comprehension strategies in Spanish-speaking CHL, focusing on their ability to integrate morphosyntactic cues (word order,…
Descriptors: Sentences, Language Processing, Spanish Speaking, Hard of Hearing
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Oscar Stuhler; Cat Dang Ton; Etienne Ollion – Sociological Methods & Research, 2025
Generative AI (GenAI) is quickly becoming a valuable tool for sociological research. Already, sociologists employ GenAI for tasks like classifying text and simulating human agents. We point to another major use case: the extraction of structured information from unstructured text. Information Extraction (IE) is an established branch of Natural…
Descriptors: Artificial Intelligence, Sociology, Social Science Research, Natural Language Processing
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John Hollander; Andrew Olney – Cognitive Science, 2024
Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems…
Descriptors: Verbs, Symbolic Language, Language Processing, Semantics
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Sarah Levine; Sarah W. Beck; Chris Mah; Lena Phalen; Jaylen PIttman – Journal of Adolescent & Adult Literacy, 2025
Educators and researchers are interested in ways that ChatGPT and other generative AI tools might move beyond the role of "cheatbot" and become part of the network of resources students use for writing. We studied how high school students used ChatGPT as a writing support while writing arguments about topics like school mascots. We…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Writing (Composition)
Erika Lynn Exton – ProQuest LLC, 2024
Code-switching (switching between languages) is a common linguistic behavior in bilingual speech directed to infants and children. In adult-directed speech (ADS), acoustic-phonetic properties of one language may transfer to the other language close to a code-switch point; for example, English stop consonants may be more Spanish-like near a switch.…
Descriptors: Cues, Acoustics, Code Switching (Language), Listening
Nika Jurov – ProQuest LLC, 2024
Speech is a complex, redundant and variable signal happening in a noisy and ever changing world. How do listeners navigate these complex auditory scenes and continuously and effortlessly understand most of the speakers around them? Studies show that listeners can quickly adapt to new situations, accents and even to distorted speech. Although prior…
Descriptors: Models, Auditory Perception, Speech Communication, Cognitive Processes
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Marian Marchal; Merel C. J. Scholman; Vera Demberg – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Linguistic phenomena (e.g., words and syntactic structure) co-occur with a wide variety of meanings. These systematic correlations can help readers to interpret a text and create predictions about upcoming material. However, to what extent these correlations influence discourse processing is still unknown. We address this question by examining…
Descriptors: Statistical Analysis, Correlation, Discourse Analysis, Cues
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I. R. Jackson; E. Perugia; M. A. Stone; G. H. Saunders – Cognitive Research: Principles and Implications, 2024
The use of face coverings can make communication more difficult by removing access to visual cues as well as affecting the physical transmission of speech sounds. This study aimed to assess the independent and combined contributions of visual and auditory cues to impaired communication when using face coverings. In an online task, 150 participants…
Descriptors: Verbal Communication, Cues, Auditory Perception, Visual Perception
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Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
Lalitha Balachandran – ProQuest LLC, 2024
Segmentation is a cornerstone of language processing across levels of linguistic analysis, and yet, standard models of linguistic memory leave the role of higher-order segments in online comprehension understudied. This dissertation advances the Context-Sensitive Encoding (CSE) hypothesis: that implicit prosodic boundaries (Bader, 1998; J. Fodor,…
Descriptors: Memory, Cognitive Processes, Sentences, Reading Comprehension
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Tal Ness; Valerie J. Langlois; Albert E. Kim; Jared M. Novick – Perspectives on Psychological Science, 2025
Understanding language requires readers and listeners to cull meaning from fast-unfolding messages that often contain conflicting cues pointing to incompatible ways of interpreting the input (e.g., "The cat was chased by the mouse"). This article reviews mounting evidence from multiple methods demonstrating that cognitive control plays…
Descriptors: Cognitive Ability, Language Processing, Psycholinguistics, Cues
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Fábio Albuquerque; Paula Gomes Dos Santos – Cogent Education, 2024
Using a quasi-experimental method and content analysis as a technique, this study tests ChatGPT, in its version 4, by assessing its textual characteristics and overall understanding regarding the recognition criteria of provisions under International Accounting Standards (IAS) 37, as issued by the International Accounting Standards Board (IASB).…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Accounting
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