The construction of English ecological discourse system in cognitive linguistics applicable to semantic association network model

Abstract

Based on the features and knowledge elements of the semantic network, this paper proposes a formal model of the semantic network of English ecological discourse and constructs an abstract description based on classification learners and reduced operation commands. In the formal description, the semantic features are extracted based on the sequence model, the text composition is completed based on the word relationship for the adaptive semantic network, and the hierarchical structure of the semantic network is constructed. By selecting English ecological news discourse data from mainstream news media in the United Kingdom and the United States and combining it with the adaptive semantic network, the subject of the discourse system is determined, and the characteristics of the title tone and modal verbs are analyzed. English ecological discourse has 115,000 modal verbs. Low-modal verbs reached 993,000, and high-modal verbs accounted for the smallest proportion, 516,000. The ecological characteristics of English news are revealed through the ecological discourse analysis of this paper.

Keywords

• semantic association network
• ecological discourse
• classification learner
• sequence model
• word relation
• text composition
• 97c50