Open AccessLINGUISTIK KORPUS KUANTITATIF DAN KAJIAN SEMANTIK LEKSIKAL SINONIM EMOSI BAHASA INDONESIA
Author(s) -
Gede Primahadi Wijaya Rajeg
Publication year - 2020
Publication title -
linguistik indonesia
Language(s) - English
Resource type - Journals
eISSN - 2580-2429
pISSN - 0215-4846
DOI - 10.26499/li.v38i2.155
Subject(s) - indonesian , computer science , linguistics , meaning (existential) , natural language processing , construct (python library) , semantics (computer science) , artificial intelligence , psychology , philosophy , psychotherapist , programming language
This paper demonstrates the application of Multiple Distinctive Collexeme Analysis (MDCA) to study nuances and similarity between HAPPINESS near-synonyms in Indonesian. MDCA, as a variant of a family of quantitative corpus linguistic method called Collostructional Analysis, is proposed as a usage-based operationalisation for a classic theoretical construct in cognitive linguistic approach to emotion semantics, namely the idea of “related concepts” associated with the meaning of an emotion. Using MDCA, I expanded the idea of “related concepts” to investigate the semantics of more than one, near-synonymous, emotion on the basis of the synonyms’ distinctive collocates. I argue that MDCA (i) provides empirical basis for such a theoretical idea as “related concepts” and (ii) helps enrich semantic characterisation of a given emotion word in comparison to its synonyms, highlighting how they may differ or converge semantically.