4.8
13,537 条评分
★★★★★
2026年2月13日
2019年2月8日
更新内容
v17.1.3416Performance improvements, UX enhancements, bug fixes and feature improvements.
应用信息
- 开发者
- Geeks
- 分类
- Education
- 价格
- 免费
- 版本
- 17.1.3416
- App ID
- 1365078730
简介
WordUp: Learn English Vocabulary Master English vocabulary with WordUp, the AI-powered app revolutionizing language learning! With over 5 million users worldwide, WordUp offers a personalized, engaging, and effective way to expand your English vocabulary. - Personalized Learning * AI-powered Knowledge Map tailored to your needs * 25,000 most common English words, prioritized for you * Customized word lists based on your interests and goals - Interactive Challenges * 9 diverse challenge types to reinforce learning * Spaced repetition for long-term retention * Pronounce, spell, define, and use words in context - AI-Powered Features * Chat with Lexi, your personal AI English teacher * Practice with AI celebrities in Fantasy Chat * Receive instant feedback on your writing - Comprehensive Word Pages * Detailed definitions, pronunciations, and usage examples * AI-generated images for better retention * Pro tips for real-world application - Additional Features * Idioms and phrasal verbs with visual aids * Chrome extension for learning while browsing * Multi-device support and offline mode * Progress tracking and social features - Award-Winning App * 2020 British Council Best Digital Innovation * 2020 International Business Awards Gold Stevie® Winner * Multiple industry accolades for innovation and excellence - User-Approved * 4.7+ star rating across app stores * Millions of satisfied learners worldwide Whether you're preparing for exams, advancing your career, or simply passionate about improving your English, WordUp is your ultimate vocabulary companion. Download now and transform your English skills! Free and Pro versions are available. Unlock unlimited access and premium features with WordUp Pro. Start your journey to English mastery today with WordUp!
下载量预测
预估总下载量
8K
低 / 月
11K
预估 / 月
22K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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