A Cognitive Semantic Analysis of Meaning Interrelationship

Aajami, Raghad Fahmi

doi:10.31235/osf.io/v3e42

Cited by 2 publications

(2 citation statements)

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“…Second, the primary source of difficulty regarding vocabulary acquisition throughout Langacker's theory has been treated. Lastly, the domains theory has proven its effectiveness in accurately comprehending the semantic domains of the English lexical concepts (Aajami, 2019).…”

Section: Understanding Semantics and Semantic Analysis Of Languagementioning

confidence: 99%

Hatihun nato: A morphosemantic analysis of Tausug inflection

Camlian¹,

Leon²

2022

IJRSE

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The study was conducted to identify and create a linguistic recording of the morphosemantic features of Tausug Inflection. Discourse analysis was employed to identify the structure, meaning, and usage of Tausug Inflection. Moreover, this research utilized a phenomenological approach to explore how the Tausug natives preserve their language and their insights on the importance of the language in their cultural identity. This approach was conducted through in-depth interviews and focus group discussions among 14 Tausug participants. Seven of them were for in-depth interviews, and the other seven were for focus group discussion. Findings revealed that there were five Tausug Inflections commonly used by the participants. These inflections were -um, -im, -nag, -mag, and -ma. Moreover, there were five major themes emerged on how the Tausug people preserve their language. These were used at home, used in written and online communication, used during occasions, shared with other cultures, and encouraged proper usage in Masjid. Lastly, there were four major themes revealed on the insights of the Tausug people on the importance of the language in their cultural identity. These were deeply rooted in the culture, sense of cultural pride, language conflict during a conversation, and the importance of research for preservation.

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Section: Understanding Semantics and Semantic Analysis Of Languagementioning

confidence: 99%

Hatihun nato: A morphosemantic analysis of Tausug inflection

Camlian¹,

Leon²

2022

IJRSE

View full text Add to dashboard Cite

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“…e proposal delivering number of information is informed regarding the known class. e proposal of low shared information with the delivering term contains less power discrimination which must be ignored [41,42].…”

Section: Information Of Mutual Approachmentioning

confidence: 99%

Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network

et al. 2020

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Widespread development of system software, the process of learning, and the excellence in profession of teaching are the formidable challenges faced by the learning behavior prediction system. The learning styles of teachers have different kinds of content designs to enhance their learning. In this learning environment, teachers can work together with the students, but the learning materials are designed by the teachers. The cognitive style deals with mental activities such as learning, remembering, thinking, and the usage of language. Therefore, being motivated by the problems mentioned above, this paper proposes the concept of adaptive optimization-based neural network (AONN). The learning behavior and browsing behavior features are extracted and incorporated into the input of artificial neural network (ANN). Hence, in this paper, the neural network weights are optimized with the use of grey wolf optimizer (GWO) algorithm. The output operation of e-learning with teaching equipment is chosen based on the cognitive style predicted by AONN. In experimental section, the measures of accuracy, sensitivity, specificity, time (sec), and memory (bytes) are carried out. Each of the measure is compared with the proposed AONN and existing fuzzy logic methodologies. Ultimately, the proposed AONN method produces higher accuracy, specificity, and sensitivity results. The results demonstrate that the algorithm proposed in this study can automatically learn network structures competitively, unlike those achieved for neural networks through standard approaches.

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A Cognitive Semantic Analysis of Meaning Interrelationship

Cited by 2 publications

References 0 publications

Hatihun nato: A morphosemantic analysis of Tausug inflection

Hatihun nato: A morphosemantic analysis of Tausug inflection

Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network

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