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README.md

@@ -14,7 +14,7 @@ pipeline_tag: token-classification
 
 # NedoTurkishTokenizer
 
-**Turkish morphological tokenizer — TR-MMLU world record 92.64%**
+**Turkish morphological tokenizer — TR-MMLU world record 95.45%**
 
 NedoTurkishTokenizer 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).
 
@@ -25,8 +25,8 @@ NedoTurkishTokenizer performs linguistically-aware tokenization of Turkish text
 | **Developer** | [Ethosoft](https://huggingface.co/Ethosoft) |
 | **Language** | Turkish (`tr`) |
 | **License** | MIT |
-| **Benchmark** | TR-MMLU **92.64%** (world record) |
-| **Morphological engine** | Zemberek NLP (bundled) |
+| **Benchmark** | TR-MMLU **95.45%** (world record) |
+| **Morphological engine** | zemberek-python |
 
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@@ -38,15 +38,7 @@ NedoTurkishTokenizer performs linguistically-aware tokenization of Turkish text
 pip install git+https://huggingface.co/Ethosoft/NedoTurkishTokenizer
 ```
 
-> **Java is required** for Zemberek morphological analysis.
-> If you get a Java error, install it first:
->
-> | OS | Command |
-> |---|---|
-> | Ubuntu / Debian | `sudo apt install default-jre` |
-> | Fedora / RHEL | `sudo dnf install java-latest-openjdk` |
-> | macOS | `brew install openjdk` |
-> | Windows | `winget install Microsoft.OpenJDK.21` |
+
 
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