MIT License

技术解读

以下内容由 GitRead 中文社区 编辑团队基于项目 README 与官方资料整理, 结合中文开发者的常见使用场景补充技术选型建议。具体以项目官方文档为准。

关于 GitHub 仓库 “vito-go/mywords” 的深度技术分析

项目背景与痛点

在互联网信息爆炸的时代,英文网络资源在专业文献、技术文档和信息传播中的地位毋庸置疑。然而,对于那些非母语用户,理解和吸收这些资源中蕴含的信息十分费劲。汉字与英文截然不同的语言结构和符号体系加深了这种隔阂。针对这一问题,“mywords” 提供了一种创新的方法,能够让用户通过在线方式浏览英文内容时,自动提取网页中的单词及其上下文,并进行统计和去重。对于那些希望快速提高英语语言能力的用户,此项目无疑是一座捷径。

核心技术揭秘

“mywords” 的技术架构从整体上表现为一个爬虫工具与全文索引引擎的结合体。其主要的技术栈依赖于 Go 语言,这种选择让代码具有极高的并发处理能力和执行效率。在对网页进行词频统计时,mywords 利用算法实现了高效的去除重复项的功能。其架构层次分明,依赖部分库,不仅实现了高效的网页内容获取,同时还能智能处理可能存在的编码问题和网络请求超时。

结合以上项目特点,架构层面的描述或数据流图如下图所示:

graph TD A[用户请求] --> B[参数校验] B -->|"校验通过"| C[发起网络请求] B -->|"校验失败"| E[返回错误提示] C --> D[数据解析及处理] D --> F[内容提取与统计] F --> G[结果返回] G --> H[前端展示]

功能亮点与差异

与其他依赖大量预定义规则的爬虫工具相比,mywords 更为灵活和智能。它不仅拥有卓越的语言处理能力和强大的爬虫实现,还能够根据用户的兴趣词进行学习及优化,最终大幅度提高了效率。其独特亮点在于智能去除重复词项,广泛支持格式的网页内容提取,能够灵活应对频繁更新的网络资源。

应用场景与落地建议

mywords 适用于所有需要阅读并学习英文网页内容的网民,无论是技术爱好者还是商务英语学习者,皆可从中获益。它的一大应用场景就是学习者在阅读英文文献时,自动标注并统计出哪些词汇未被用户接触过,从而作为下一步学习的重点。使用时需要注意 API 调用频率,避免因访问过于频繁而遇到封禁等情况。

综合评价

vito-go/mywords 通过 GitHub 形式开源,创新地融合了网页爬虫与词频统计功能,为前端和后端的开发者提供了一套高效的解决方案。自身技术实现上,总体表现稳健,但也存在校验机制的灵活性和规则定制化的改进空间,极端场景下可能出现性能瓶颈。在去除重复项及内容解析方面,mywords 能够极大地提升用户效率,但仍可在算法优化方面进一步细化,使工具体验趋于完美。

语言占比

C
C++
CMake
Dart
Go
HTML
Kotlin
Makefile
Objective-C
Ruby
Swift

Release

贡献者

README

English Version | 中文版

Project Overview

This project provides a tool for learning English vocabulary, designed specifically for English learners, by expanding their vocabulary through reading English or bilingual articles. Users can automatically extract words from the learning articles, analyze word frequency, filter words, and track and record their mastery level.

  • Vocabulary Learning Tool! Enter the URL of an English or bilingual article, and this tool will automatically extract all words and their corresponding sentences from the article, deduplicate and summarize the words in the article. You can filter to display only the words you don’t know.
  • This tool supports custom dictionary libraries, allowing users to add their own dictionary libraries for referencing word meanings during the learning process.

Download and Installation

CHANGE_LOG.md

Key Features

  • Word Extraction and Recording: Enter a URL, and the tool automatically retrieves and extracts all words and their contextual sentences from the web article. Additionally, it calculates and displays the vocabulary size of the article.
  • Intelligent Management and Filtering: Avoid redundant learning of words you already know by utilizing deduplication and excluding options for mastered vocabulary, allowing you to focus on learning new words.
  • Learning Progress Tracking: Words can be marked with different cognitive levels, including “0: Unknown,” “1: Recognized”, “2: Familiar”, “3: Proficient”. This helps customize the learning path while enhancing memory retention.
  • Filtered Browsing Functionality: Filter out words of specific cognitive levels, for example, selecting the “0” tag displays all the words you are yet to understand.
  • Synchronization and Platform Compatibility: Developed using Go and Flutter for cross-platform applications, supports usage on Android, Linux, and Windows, with data synchronization between devices, enabling convenient learning without constraints.
  • Web Version Support: Supports local or cloud deployment, enabling access to the web application via a browser, offering a consistent user experience with desktop and mobile applications.
  • Local Data Storage: No reliance on backend servers, ensuring all data is securely stored locally.

Development and Technical Support

  • This tool is developed with a focus on cross-platform compatibility and user convenience. It not only utilizes the high-performance Go language for core logic but also employs Flutter to ensure a smooth user interface experience and consistency across platforms. Whether users are learning on any device, they can ensure seamless synchronization of their learning progress.

  • With a focus on English learning needs, our goal is to create a simple, efficient, and user-friendly vocabulary learning aid. We welcome you to use this tool to accelerate your language learning journey.

Reading and Vocabulary Expansion

Reading English articles is widely recognized as an effective way to expand vocabulary. According to data analysis, about 50% to 70% of the vocabulary in each English article is considered effective. Please note that punctuation marks, articles, prepositions, and other simple vocabulary (such as “a,” “in,” “on,” “the,” “I,” “than,” “you,” “he,” etc.) have been automatically excluded from the articles. We suggest you:

  • Consistently Read Daily: Develop a habit of reading English articles daily, whether it’s news, academic papers, or novels.
  • Record New Vocabulary: When encountering new words, use this tool to record them and classify their cognitive levels.

Measuring Progress

Continuous reading practice will directly reflect in the growth of your vocabulary. Over time, you will notice:

  • Reduction in "0-level Unknown Words": The number of completely unfamiliar words encountered when reading each new article will gradually decrease.
  • Improved Reading Speed: You will read articles faster and with a significant increase in comprehension depth and speed. Consistently practicing reading and using tools to assist you in recording and reviewing these new words is key to improving your English proficiency. As your vocabulary grows, you will not only read more fluently but also enhance your writing and conversational skills.

To effectively use this tool and enhance your English proficiency, this project recommends the following English reading resources. They provide rich bilingual content covering a wide range of topics suitable for learners of all levels:

  • The New York Times (Chinese-English Edition):Visit The New York Times Chinese-English Edition for high-quality bilingual reading materials. This will help improve your English comprehension and vocabulary. Bilingual English Learning Resource Icon

  • The Economist China: The Economist China: English content tailored for Chinese readers, covering politics, economics, technology, and more. It’s very beneficial for learners who want to gain in-depth understanding of global topics. img.png

By utilizing these resources, you can not only expand your vocabulary in a targeted manner but also gain insights into different topics and background knowledge, comprehensively enhancing your English proficiency.

Build Guide

Screenshots

Adding Dictionary Guide

Adding Dictionary Guide

TODO

  • Dark theme color
  • Web version support, supporting local deployment and cloud deployment. Support for running in Termux on Android devices.
  • On mobile versions, integrate the web version for seamless learning between multiple devices.
  • README.md of English version
  • Net Proxy support configuration of username and password
  • On web version, sensitive functions like DelDict are only allowed to be called in the local environment.

Contact and Support:

  • If you encounter any issues while using this tool or adding dictionaries, or if you want to share your learning experiences and progress with us, please contact us via:

Acknowledgements

We sincerely thank the following individuals and organizations for their support and contributions to this project:

  • Thanks to The New York Times Chinese and English Edition for providing us with high-quality bilingual reading materials, which are very helpful for English learners.
  • Thanks to The Economist China for providing us with high-quality English reading materials, enriching our learning with abundant content.
  • Special thanks to Bitbucket.org/xwangfor providing the Python dictionary parsing tool, which is crucial for us to build the vocabulary database.
  • Special thanks to louischeung.top for providing the Oxford Advanced English-Chinese bilingual dictionary, which is highly valuable for English learners.
  • We express our deep gratitude to all users who have actively provided feedback and suggestions through Telegram or Email.
  • Thanks to all contributors, testers, and users who have supported and used our tool. It is your support that drives the continuous improvement of this project.

Additionally, we would like to thank all friends who have quietly supported this project behind the scenes. Your encouragement and feedback are the sources of the project’s continuous development.

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