2022
DOI: 10.4018/ijcini.309991
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Semantic Network Model for Sign Language Comprehension

Abstract: In this study, the authors propose a computational cognitive model for sign language (SL) perception and comprehension with detailed algorithmic descriptions based on cognitive functionalities in human language processing. The semantic network model (SNM) that represents semantic relations between concepts is used as a form of knowledge representation. The proposed model is applied in the comprehension of sign language for classifier predicates. The spreading activation search method is initiated by labeling a… Show more

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References 43 publications
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