Indonesian Journal of Computational Language Studies
Vol. 1 No. 1 (2026): Data-driven approaches to Indonesian language processing

Lexical patterns in Indonesian academic writing: a corpus-based analysis for writing assistance

Abdul Wahid (UIN Madura)



Article Info

Publish Date
31 Mar 2026

Abstract

Background: Despite growing demands for academic publication in Indonesian higher education, many students and early-career researchers struggle with appropriate lexical usage. Objective: This study identifies lexical features that characterize proficient Indonesian academic writing through a corpus-based analysis. Method: A large corpus of journal articles and theses was analyzed using frequency, lexical bundle, and keyword analysis across sections and registers. Results: Academic texts are dominated by abstract nouns and procedural verbs, while lexical bundles show strong sectional specialization; keyword analysis highlights contrasts with non-academic texts in abstraction, impersonality, and epistemic stance. Implication: These findings support the development of corpus-informed writing instruction and tools to enhance academic literacy in Indonesian contexts. Novelty: This study integrates section-sensitive lexical analysis with register-based comparison to provide a comprehensive empirical model of academic lexical proficiency.

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Journal Info

Abbrev

ijcl

Publisher

Subject

Description

Indonesian Journal of Computational Language Studies is a double blind peer-reviewed scholarly journal that publishes original research articles and critical studies at the intersection of language, computation, and data-driven methodologies. This journal is published quarterly as a platform for the ...