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Showing 1 to 15 of 29 results Save | Export
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Dustin S. Stoltz; Marshall A. Taylor; Jennifer S. K. Dudley – Sociological Methods & Research, 2025
Distances derived from word embeddings can measure a range of gradational relations--similarity, hierarchy, entailment, and stereotype--and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation…
Descriptors: Computational Linguistics, Social Science Research, Dictionaries, Research Problems
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Tanja C. Roembke; Bob McMurray – Cognitive Science, 2025
Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…
Descriptors: Vocabulary Development, Computation, Models, Accuracy
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Ran Li; ShiMin Chen; Swathi Kiran – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Following the Rehabilitation Treatment Specification System (RTSS) framework, the current study investigated the active ingredients in the modified semantic feature analysis (mSFA) targeting either noun or verb retrieval in Mandarin-English bilingual adults with aphasia (BWA). Method: Twelve Mandarin-English BWA completed mSFA treatment…
Descriptors: Bilingualism, Aphasia, Mandarin Chinese, English
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Sheng Bi; Zeyi Miao; Qizhi Min – IEEE Transactions on Learning Technologies, 2025
The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…
Descriptors: Grammar, Models, Questioning Techniques, Graphs
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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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Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
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Cheng-Yu Hsieh; Marco Marelli; Kathleen Rastle – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Most printed Chinese words are compounds built from the combination of meaningful characters. Yet, there is a poor understanding of how individual characters contribute to the recognition of compounds. Using a megastudy of Chinese word recognition (Tse et al., 2017), we examined how the lexical decision of existing and novel Chinese compounds was…
Descriptors: Semantics, Orthographic Symbols, Chinese, Reading Processes
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Gary Robinaugh; Maya L. Henry; Robert Cavanaugh; Stephanie M. Grasso – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The purpose of this study was to investigate the effectiveness of a self-administered naming treatment for one individual, B.N., presenting with semantic variant primary progressive aphasia (svPPA) and a history of traumatic brain injury (TBI). Method: Naming treatment included components of Lexical Retrieval Cascade Treatment and was…
Descriptors: Aphasia, Head Injuries, Brain, Naming
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Alyssa Devey – Composition Forum, 2024
Even though learning outcomes have become an expected part of writing programs, how they are defined and subsequently used is often unclear. This study did a textual analysis of the terms used for "outcomes" on 42 universities' first-year writing webpages. The study found that university writing programs use different terms for…
Descriptors: Universities, College Freshmen, Writing (Composition), Writing Instruction
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Linda Espey; Marta Ghio; Christian Bellebaum; Laura Bechtold – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
We used a novel linguistic training paradigm to investigate the experience-dependent acquisition, representation, and processing of novel emotional and neutral abstract concepts. Participants engaged in mental imagery (n = 32) or lexico-semantic rephrasing (n = 34) of linguistic material during five training sessions and successfully learned the…
Descriptors: Linguistic Input, Concept Teaching, Concept Formation, Learning Processes
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Danning Sun; Zihan Chen; Shanhua Zhu – Journal of Psycholinguistic Research, 2025
This study examines the referential context effect on second-language relative clause ambiguity resolution by proficient L1 Chinese learners who learn English as a foreign language (EFL) and investigates whether the ambiguity resolution process is constrained by individuals' working memory capacity (WMC). It presents a self-paced reading study and…
Descriptors: Short Term Memory, Context Effect, Ambiguity (Semantics), Form Classes (Languages)
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Liubov Darzhinova; Zoe Pei-sui Luk – Journal of Psycholinguistic Research, 2024
The study tested how the Recency Preference and Predicate Proximity model (Gibson et al. in Cognition 59(1):23-59, 1996, https://doi.org/10.1016/0010-0277(88)90004-2) plays out by examining the attachment preferences of native Russian speakers when processing locally ambiguous participial relative clause sentences with three potential NP…
Descriptors: Form Classes (Languages), Sentences, Russian, Language Processing
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Luijim S. Jose – Eurasian Journal of Applied Linguistics, 2024
This study examines the semantic evolution of selected passages from the Psalms in the Bible's King James Version (KJV), focusing on their implications for biblical interpretation and theological understanding. Employing a qualitative, diachronic linguistic research design, purposive sampling was used to select passages featuring terms that…
Descriptors: Semantics, Diachronic Linguistics, Biblical Literature, Christianity
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Pamela Medina; Waldo Quiroz – Journal of Biological Education, 2025
Within the scope of this investigation, educational instruments grounded on materialist ontology were employed to undertake a semantic analysis of the concepts of cell and the mechanisms of living organisms as they appear in biology and natural science textbooks. Drawing upon the ontological categories applied to distinct biological system levels,…
Descriptors: Textbook Content, Scientific Concepts, Cytology, Biology
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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