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Tsugi - Japanese Vocab Mining аналитика приложений для 18 августа
Tsugi - Japanese Vocab Mining
- Dittman Shum
- Apple App Store
- Бесплатный
- Образование
Tsugi (次) is the next-generation AI Japanese immersion and sentence mining platform. Built for intermediate to advanced learners who have outgrown basic language apps, Tsugi turns native Japanese content into your own personalized, high-yield Spaced Repetition System (SRS) study ecosystem. Whether you’re studying for the JLPT or pursuing real-world fluency, Tsugi helps you learn from authentic Japanese.
Key Features:
- AI-Powered n+1 Sentence Mining: Automatically analyze any complex Japanese sentence. Tsugi identifies the exact grammar patterns and vocabulary matching your current level, instantly isolating the single unknown word (n+1) for highly efficient acquisition.
- Instant Text Analysis & Local Tokenization: Powered by lightning-fast, privacy-first local processing, our advanced tokenizer instantly breaks down native sentences into nouns, verbs, particles, and conjugations with precise definitions.
- Super-Charged SRS Algorithm: Move past rigid legacy apps. Our optimized spaced-repetition engine adapts dynamically to your personal forgetting curve, resurfacing weak cards right before you forget them.
- Native Audio & Interactive Furigana: Perfect your accent with high-quality audio output designed for pitch-accent training and shadow reading. Toggle furigana and hiragana overlays instantly based on your target Kanji comfort level.
- Comprehensive Progress Analytics: Track your journey toward true literacy. Visualize your vocabulary growth, card retention curves, and daily study streaks with deep statistical insights.
- Smart Reminders: Never break your streak. Customizable daily notifications ensure your reviews are cleared on time, keeping your SRS engine perfectly optimized.
Take the next step in your language journey. Move beyond gamified apps and start mining your way to true fluency with Tsugi.
Please follow us on Twitter/X (@tsugi_app) and provide any suggestions or feedback for future versions!
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