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Showing all 12 results Save | Export
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Ntabo, Victor Ondara; Onyango, James Ogola; Ndiritu, Nelson Ng'arua – Advances in Language and Literary Studies, 2022
Food is useful in the transference of semantic aspects that are vital in the construction of masculinity in society. Consequently, foodsemic metaphors that aid in the conceptualization of "omosacha" (a man) are pervasive in Ekegusii. Metaphor use may, however, present difficulties in comprehension due to the various interpretations that…
Descriptors: Food, Semantics, Psycholinguistics, Masculinity
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Lu, Aitao; Zhang, Jijia; Zhang, Ye; Li, Meirong; Hong, Xiuxiu; Zheng, Dongping; Deng, Ruchen – Journal of Psycholinguistic Research, 2020
It is well known that the semantic features of gender associated with peoples' names are represented in the conceptual semantic system. However, there is scant evidence that such knowledge plays a role in name comprehension, and if so, in which processing stage this occurs. The aim of this study was to provide evidence concerning the time course…
Descriptors: Semantics, Gender Differences, Naming, Psycholinguistics
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Yang, Meiling; Wang, Yunqi – Language Learning and Development, 2023
How does linguistic structure affect children's developing cardinal number knowledge? The bootstrapping theory proposes that children might use syntactic information provided by known words such as quantifiers to bootstrap the meanings of unfamiliar words such as number words. Prior studies of numeral and quantifier development have indicated that…
Descriptors: Correlation, Numeracy, Linguistic Theory, Syntax
Zainurrahman – Online Submission, 2019
The views that gender and language are related each other has been reviewed from at least two different disciplines: sociolinguistics and psychology. From the first discipline, it has been concluded that gender and language has no natural relationship for it is cultural values that shape genderlect. From the second discipline, it has been…
Descriptors: Psychology, Sociolinguistics, Semantics, Gender Differences
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Lee, Chao-Yang; Zhang, Yu – Journal of Psycholinguistic Research, 2015
The effect of speaker variability on accessing the form and meaning of spoken words was evaluated in two short-term priming experiments. In the repetition priming experiment, participants listened to repeated or unrelated prime-target pairs, in which the prime and target were produced by the same speaker or different speakers. The results showed…
Descriptors: Psycholinguistics, Semantics, Associative Learning, Priming
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Vainio, Seppo; Pajunen, Anneli; Häikiö, Tuomo – First Language, 2019
The current study examined how morpho-semantic processing of derivational morphology develops from later childhood through adolescence to adulthood in Finnish. Finnish is a synthetic language rich both in derivation and inflection. It has been suggested that children gradually acquire the ability to process morphologically complex word structures.…
Descriptors: Morphology (Languages), Finno Ugric Languages, Semantics, Morphemes
Aquino-Padlan, Christine Inez B.; De Vera, Presley V. – Online Submission, 2019
This study aligns to the field of Lexical Semantics that employ Error Analysis (EA) approach. It is a descriptive study that employed sex-disaggregated data to analyze the formal and semantic lexical errors, as well as the sexist-oriented lexical errors of sixty (60) First Year students of Pangasinan State University-Lingayen Campus, enrolled in…
Descriptors: Undergraduate Students, Error Analysis (Language), Second Language Learning, Second Language Instruction
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Cheng, Chu-Yu; Ou, Yang-Kun; Kin, Ching-Lung – EURASIA Journal of Mathematics, Science & Technology Education, 2017
A visual representation involves delivering messages through visually communicated images. The study assumed that semantic recognition can affect visual interpretation ability, and the result showed that students graduating from a general high school achieve satisfactory results in semantic recognition and image interpretation tasks than students…
Descriptors: Chinese, Semantics, Language Processing, Teaching Methods
Lipschultz, Michael; Litman, Diane; Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2014
Post-problem reflective tutorial dialogues between human tutors and students are examined to predict when the tutor changed the level of abstraction from the student's preceding turn (i.e., used more general terms or more specific terms); such changes correlate with learning. Prior work examined lexical changes in abstraction. In this work, we…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Semantics, Abstract Reasoning
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Wang, Lin; Bastiaansen, Marcel; Yang, Yufang; Hagoort, Peter – Neuropsychologia, 2011
To highlight relevant information in dialogues, both wh-question context and pitch accent in answers can be used, such that focused information gains more attention and is processed more elaborately. To evaluate the relative influence of context and pitch accent on the depth of semantic processing, we measured event-related potentials (ERPs) to…
Descriptors: Cues, Language Processing, Semantics, Brain Hemisphere Functions
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Bermeitinger, Christina; Wentura, Dirk; Frings, Christian – Brain and Language, 2008
There is abundant evidence from behavioral and neurophysiological experiments for the distinction of natural versus artifactual categories and a gender-specific difference: women's performances in cognitive tasks increase when natural categories are used, whereas men's performances increase with artifactual categories. Here, we used the semantic…
Descriptors: Females, Models, Semantics, Familiarity
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis