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  # TurkTokenizer
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- **Turkish morphological tokenizer — TR-MMLU world record 92%**
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  TurkTokenizer performs linguistically-aware tokenization of Turkish text using morphological rules. Unlike BPE-based tokenizers, it produces meaningful morphological units (roots and suffixes) aligned with Turkish grammar, powered by [Zemberek NLP](https://github.com/ahmetaa/zemberek-nlp).
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  # TurkTokenizer
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+ **Turkish morphological tokenizer — TR-MMLU world record 95.45%**
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  TurkTokenizer performs linguistically-aware tokenization of Turkish text using morphological rules. Unlike BPE-based tokenizers, it produces meaningful morphological units (roots and suffixes) aligned with Turkish grammar, powered by [Zemberek NLP](https://github.com/ahmetaa/zemberek-nlp).
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