CN
IgarashiAkatuki/CNMBERT
基于BERT的拼音缩写/汉字谐音翻译模型，在命名实体识别，情感分析等多种任务上有应用潜力。中文拼写纠错 Chinese Spelling Correction (CSC)，互联网黑话，拼音缩写，汉字谐音
133 4 +0/wk
GitHub
bert-model chinese chinese-spelling-correction nlp pinyin
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
IgarashiAkatuki/CNMBERT has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | CNMBERT | awesome-bert-japanese | Arabic-BERT | coco-server |
|---|---|---|---|---|
| Stars | 133 | 132 | 134 | 134 |
| Forks | 4 | 7 | 20 | 30 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | N/A | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | AGPL-3.0 | N/A | MIT | NOASSERTION |
Capability Radar vs awesome-bert-japanese
CNMBERT
awesome-bert-japanese
Maintenance Activity 53
Last code push 89 days ago.
Community Engagement 64
Fork-to-star ratio: 3.0%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 70
Licensed under AGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.