ichochy/nce

《新概念英语》全四册在线课文朗读、单句点读、中英对照

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Summary Information

Updated 7 minutes ago
Added to GitGenius on September 19th, 2026
Created on September 24th, 2025
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 622
Total Stargazers: 3,550 (+0)
Total Subscribers: 15 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 37.3 hours
Mean response time: 50.0 days
90th percentile: 171.2 days
Tracked items: 10

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 325 days
Stale 30+ days: 1
Stale 90+ days: 1

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Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

nce is a web-based interactive learning platform for New Concept English that provides audio playback, sentence-by-sentence reading practice, and bilingual text display across all four course books.

The platform addresses the challenge of self-studying English through the New Concept English curriculum by offering synchronized audio and text. Users can click any sentence to hear its pronunciation and practice reading along, with Chinese translations displayed alongside English text. The system runs entirely in the browser as a static site built with HTML, CSS, and JavaScript, requiring no installation. Audio comes from American English recordings, and Chinese subtitles are generated through AI with manual refinement.

The tool suits learners at any level working through the New Concept English series, from complete beginners using Book One to advanced learners preparing for exams with Book Four. Each book targets different proficiency levels and vocabulary ranges. The platform's core design decouples the player from learning resources, allowing anyone to host their own course materials on any CORS-enabled static server by preparing a directory with a book.json descriptor file, MP3 audio files, and LRC lyric files containing synchronized English and Chinese text. Users can then access custom courses through a URL hash parameter.

The project maintains an active codebase with regular updates addressing user feedback and resource improvements. Development shows responsiveness to community contributions, particularly around refining AI-generated translations and expanding resource coverage. The maintainer actively documents technical implementation details and provides clear guidance for users wanting to integrate their own learning materials into the system.