gaboolic/rime-frost

白霜拼音:蒹葭苍苍,白露为霜。白霜拼音使用高质量语料,进行分词,重新统计字频、词频,归一化,打造纯净、词频准确、智能的词库。白霜词库是目前rime方案下最好的开源词库,经评测准确性已经不输于商业输入法。在墨奇输入法内置,欢迎使用。

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Summary Information

Updated 1 hour ago
Type:Configuration / DotfilesCategory(s):Programming Languages & CompilersLanguages & Runtimes
Added to GitGenius on September 19th, 2026
Created on June 7th, 2024
Open Issues & Pull Requests: 14 (+0)
GitHub issues: Enabled
Number of forks: 177
Total Stargazers: 3,667 (+0)
Total Subscribers: 11 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 19.0 hours
Mean response time: 10.1 days
90th percentile: 22.4 days
Tracked items: 205

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How this project is maintained

About 3% of issues opened in the past year have never received a reply. 80% of issues opened in the past year have been closed, leaving a working backlog. Three people close 67% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 14
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 160 days
Stale 30+ days: 12
Stale 90+ days: 8

Recent activity

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

Rime Frost is a Pinyin input method schema for the Rime input framework that provides an optimized word frequency dictionary for Chinese character and word input.

The project addresses inaccurate character and word frequency statistics in existing Rime schemas by rebuilding the dictionary from scratch. Starting from a base configuration, it removes unhealthy vocabulary, eliminates rare words with frequency of one that cannot be properly segmented, and removes non-words like "的吧" and "的了". The tool then reprocesses a high-quality corpus of over 745 million characters through segmentation and statistical analysis to normalize character and word frequencies, resulting in more accurate predictions during typing. Both full pinyin and double pinyin input methods are supported.

Developers choosing this schema should know it works as a drop-in replacement for other Rime schemas with minimal configuration changes. It suits anyone using Rime on Windows or other platforms who wants improved input accuracy without relying on cloud-based prediction. The project includes optional auxiliary code support activated by backtick, allowing character component lookup and other features like symbol input, date and time insertion, lunar calendar conversion, and calculator functionality. A standalone Windows input method called Moqi IME bundles this schema as its default option for users preferring a dedicated application.

Development activity shows consistent maintenance focused on the dictionary and word frequency data. The project includes open-source evaluation code that allows reproducible testing of input accuracy across different Rime schemas and comparison with commercial input methods. Documentation covers installation paths, configuration options, and detailed explanations of auxiliary code splitting rules through linked resources.