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A COMPUTATIONAL PIPELINE FOR LEXICAL AND THEMATIC ANALYSIS OF THE CODE OF ADMINISTRATIVE OFFENSES OF THE REPUBLIC OF KAZAKHSTAN
This study introduces a computational pipeline for the automated linguistic and structural analysis of legal texts, applied to the Code of Administrative Offenses of the Republic of Kazakhstan (CAO RK, K1400000235). The proposed workflow integrates data collection, text preprocessing, tokenization,
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