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HukukBERT: New Language Model for Turkish Legal Texts

Researchers have developed HukukBERT, a specialized language model designed to process Turkish legal texts. This model was trained on a substantial corpus of Turkish legal documents using a hybrid pre-training approach that combines various masking techniques. HukukBERT demonstrates strong performance on benchmarks for legal text analysis, including predicting masked legal terms and segmenting court decisions, outperforming existing Turkish language models. AI

IMPACT This model could significantly advance Turkish legal tech by enabling better tools for legal research, document analysis, and potentially judicial decision support.

RANK_REASON The cluster describes a new domain-specific language model presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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HukukBERT: New Language Model for Turkish Legal Texts

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The cluster describes a new domain-specific language model presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mehmet Utku \"Ozt\"urk, Tansu T\"urko\u{g}lu, Buse Buz-Yalug ·

    HUKUKBERT: Domain-Specific Language Model for Turkish Law

    arXiv:2604.04790v2 Announce Type: replace Abstract: Natural language processing (NLP) advances have powered a generation of LegalTech systems, but Turkish law remains under-served by domain-specific data and models. English has legal encoders such as LEGAL-BERT; no comparable hig…