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Universitas Hasanuddin
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Sentence Complexity in Indonesian Legal Language: An Analysis of Subject Constituent Structure in KUHP Texts

Iman M.N.

Theory and Practice in Language Studies

Q1
Published: 2026

Abstract

This study examines the syntactic complexity of Indonesian legal sentence structures, focusing specifically on the constituent organization of sentence subjects in the Kitab Undang-Undang Hukum Pidana (KUHP) (Indonesian Penal Code). Employing a dual-dimensional syntactic framework—structural and relational—the research analyzes and classifies thirteen representative legal sentences based on the number, type, and hierarchical depth of embedded clauses functioning as subject constituents. The findings reveal that subjects in legal sentences range from simple noun phrases to highly recursive constructions containing up to twelve levels of embedded clauses. Two dominant sentence configurations are identified: the canonical pattern (Subject–Predicate) and the non-canonical or inversion pattern (Predicate–Complement–Subject). While canonical structures become increasingly difficult to process as subject complexity increases, inverted structures—particularly when combined with syntactic enumeration—enhance clarity, reduce cognitive load, and improve interpretability by foregrounding the legal action and segmenting dense legal content. These patterns are not interchangeable but serve complementary functions, depending on clause complexity and legal focus. The study affirms that syntactic complexity in Indonesian legal language is neither arbitrary nor obstructive, but rather a grammatically regulated and functionally adaptive response to the communicative demands of legal discourse, including precision, completeness, and referential clarity. Accordingly, the research advances a dual-axis syntactic model—mapping paradigmatic depth and syntagmatic ordering—as both a theoretical contribution to legal linguistics and a practical framework for improving legal drafting, statutory interpretation, and public access to legal texts.

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10.17507/tpls.1602.23

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LinguisticsSciences
SentenceSciences
Computer scienceSciences
Subject (documents)Sciences
IndonesianSciences
SyntaxSciences
Syntagmatic analysisSciences
Nominative caseSciences
Dependent clauseSciences
Artificial intelligenceSciences
NounSciences
Natural language processingSciences
Inversion (geology)Sciences
Feature (linguistics)Sciences
Action (physics)Sciences
InterpretabilitySciences
Legal researchSciences
MarkednessSciences
Coining (mint)Sciences
CompoundSciences
PsychologySciences
SociologySciences
Semantics (computer science)Sciences
Noun phraseSciences