Overview
多语言AI阅读标注工具，分析词汇语境并保存，允许用户在任何网页上标注，并在阅读中回顾词汇的旧语境，以增强语境学习。
📚 语境驱动，高效学习 Context-Driven, Efficient Learning ⭐ AI语境学习，巩固旧词 Contextual Learning, Reinforce Old Words 自定义模型deepseek, chatGPT, Gemini，进行单词语境分析，并可一键保存AI词条解释笔记 通过阅读新文章，回顾历史语境，自然复习旧单词，学习更高效。 While reading new articles, revisit past contexts to review old words, enhancing learning efficiency naturally. 🔍 旧语境提示，快速回忆 Contextual Prompts, Quick Recall 遇到熟悉单词，插件自动显示其在过去阅读中的语境，助你快速巩固记忆。 When encountering familiar words, the plugin shows their past contexts from your reading history, aiding quick recall. ✏️ 一词多义，笔记复用 Multiple Meanings, Note Reuse 为生词添加笔记后，再次标注时可直接选择之前的笔记作为新语境的语义，无需重复输入。 After annotating a word, select its previous notes for new contexts without re-entering. 🖤 核心功能 Core Features 📝 学习手账：记录与可视化 Learning Journal: Record and Visualize 记录每日单词和句子，生成当月打卡标注热力图，并列出每日学习网站清单。 Log daily words and sentences, view a monthly annotation heatmap, and see a list of daily learning websites. 📅 阅读日历：直观规划 Reading Calendar: Intuitive Planning 清晰展示每日阅读文章的网站图片，方便规划学习进度。 Clearly displays website images of daily read articles, simplifying learning planning. 🌐 多语言标注字典：分类查阅 Multilingual Annotated Dictionary: Organized Lookup 将用户标注的单词按语言分类成字典，查阅便捷，并提供每个单词的语境时间线。 Organizes annotated words into language-specific dictionaries for easy lookup, with a context timeline for each word. 📊 数据分析：学习概览 Data Analytics: Learning Overview 提供标注数量、多语言数据和网站数据的简单分析，助你了解学习情况。 Offers a simple analysis of annotation counts, multilingual data, and website data to track your learning. 👩作为自学开发者和语言学习爱好者，致力于打造真正好用的语言学习工具╰(￣ω￣ｏ) As a self-taught coder and passionate language learner, I'm all in on building super handy language learning tools!
Details
- Version1.2.0
- UpdatedNovember 16, 2025
- Offered byAyama Bobo
- Size29.15MiB
- Languages中文（中国）
- Developer
Email
judithfellmann2@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
