This study investigates the application of corpus analysis techniques for the automated assessment of linguistic features in Korean speech, specifically within the context of language disorders associated with cognitive decline. Addressing the limitations of traditional, manual linguistic analysis, this paper proposes a methodology utilizing the corpus morpheme analysis and tagging to quantify semantic and syntactic variables indicative of language disorders. The method details the use of part-of-speech tagging to derive indices related to lexical diversity, semantic coherence, and syntactic complexity, accounting for the unique grammatical characteristics of the Korean lan ... continue reading->
Keywords: Corpus Analysis; Cognitive Decline; Language Disorders; Speech Analysis