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Show HN: Context-aware Japanese furigana using Sudachi and ModernBERT

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Why This Matters

This development introduces a context-aware furigana system that dynamically displays readings based on kanji difficulty levels, enhancing Japanese language learning tools. It leverages advanced NLP models like Sudachi and ModernBERT to improve reading comprehension and user experience. This innovation has the potential to make language learning more efficient and tailored to individual proficiency levels, benefiting both learners and educational platforms in the tech industry.

Key Takeaways

JLPT (Japanese-Language Proficiency Test) filtering shows furigana only for kanji above a chosen difficulty level (N5-N1). For example, if you set it to N3, easier N5/N4 words appear without furigana, while N3 and harder words display readings. This helps you practice reading common kanji while keeping the text clean and readable.