Open AccessA Corpus-Based Study of Semantic Categorizations of Attracted Adjectives to the it BE ADJ clause Construction
Author(s) -
Jiaojiao Wang,
Jiangping Zhou
Publication year - 2022
Publication title -
sage open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
ISSN - 2158-2440
DOI - 10.1177/21582440221091242
Subject(s) - linguistics , natural language processing , computer science , corpus linguistics , semantics (computer science) , semantic analysis (machine learning) , artificial intelligence , categorization , psychology , philosophy , programming language
By implementing such corpus approaches as collexeme analysis and hierarchical cluster analysis, this paper investigates the semantic categorizations of adjectives that are extremely significantly attracted to the it BE ADJ clause construction in English. The findings demonstrate that these adjectives could be at least subdivided into seven different semantic clusters that denote (1) importance, necessity, and possibility; (2) appropriateness, reasonability, and unreality; (3) impracticability and irrelevance; (4) undeniability and axiomaticity; (5) obviousness; (6) dubiety, desirability, and ease; (7) improbability and anomalousness.