Graph-Based Lexical Network for Enhancing Vocabulary Acquisition in Language Curricula
Аннотация
The vocabulary learning is an important part of the language learning process, and the proper organization of the lexical knowledge contributes to the understanding and expressing. The graph based lexical networks provide a structural method of displaying the relationships between words in the curriculum. Nevertheless, the old techniques usually depend on memorial practice or word lists, which restrict a contextual interpretation and the durability of remembering. To solve this issue, the presented framework utilizes Knowledge Graph Embedding (KGE) to find semantic, syntactic, and pragmatic relationships between words in a multidimensional space. The capability of inserting the lexical items into a graphic format also allows the learners to navigate dynamically between related terms by exploring the interconnected concepts. The approach facilitates the accommodation of language education programs in individual learning plans, adaptive activities, and semantic grouping. The results of experimental testing show that the strategy enhances retention, speeds up language growth, and enhances using language in context, as opposed to traditional instructional activities.
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