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Elshad Rahimov

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Open access Jul 2026

miLLi: Model Integrating Local Linguistic Insights for Morphologically Robust Tokenization

Standard statistical tokenization algorithms often struggle to preserve the morphological boundaries of agglutinative languages such as Azerbaijani. This study introduces miLLi 1.0, a hybrid tokenizer that integrates a rule-based root dictionary with a statistical Byte-Pair Encoding (BPE) approach. The model’s distingu...

Elshad Rahimov · 1 citation

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