MCP Translation Server
Overview
MCP Translation Server 是一个专门用于满-汉双向翻译的高性能机器翻译系统。它基于先进的语言学处理和深度学习技术，为低资源语言翻译提供全面的解决方案。
主要特性
1. 增强型形态分析
- 🔍 完整的满语语言规则支持
- 🎯 精确的元音和谐分析
- 📊 智能词形变化预测
- ✨ 自动错误检测和纠正
2. 高级翻译引擎
- 🚀 多级翻译策略
- 📚 智能语料库匹配
- 🔄 形态分析集成
- 📊 详细翻译元数据
3. 丰富的语言资源
- 📖 完整的语言规则系统
- 💾 扩展的平行语料库
- 📚 优化的词典结构
- 🔍 上下文感知分析
快速开始
1. 克隆仓库
git clone https://github.com/yourusername/mcp-translation-server.git
cd mcp-translation-server
2. 环境设置
# 创建虚拟环境
python -m venv venv
# 激活虚拟环境
source venv/bin/activate # Linux/Mac
# 或
venv\Scripts\activate # Windows
# 安装依赖
pip install -r requirements.txt
3. 配置
# 复制配置模板
cp config/config.example.json config/config.json
# 编辑配置文件
vim config/config.json # 或使用其他编辑器
4. 运行演示
# 运行综合演示
python demo/comprehensive_demo.py
# 运行翻译服务器
python server.py
系统架构
核心组件
- 形态分析器 (
enhanced_morphology.py)
* 词形分析和生成
* 元音和谐处理
* 错误检测和纠正
- 翻译引擎 (
enhanced_translation.py)
* 多级翻译策略
* 语料库匹配
* 形态分析集成
- 语言资源
* 语言规则 (`manchu_rules.json`)
* 平行语料库 (`parallel_corpus.json`)
* 词典系统 (`dictionary.json`)
API 文档
基本翻译
POST /api/v1/translate
Content-Type: application/json
{
"text": "bi bithe arambi",
"source_lang": "manchu",
"target_lang": "chinese"
}
形态分析
POST /api/v1/analyze
Content-Type: application/json
{
"text": "arambi",
"type": "morphology"
}
贡献指南
- Fork 本仓库
- 创建特性分支 (
git checkout -b feature/AmazingFeature)
- 提交更改 (
git commit -m 'Add some AmazingFeature')
- 推送到分支 (
git push origin feature/AmazingFeature)
- 开启 Pull Request
许可证
本项目采用 MIT 许可证。详见 LICENSE 文件。
致谢
- 感谢所有为满语研究做出贡献的学者
- 感谢开源社区的支持
- 特别感谢为本项目提供语料和建议的专家们
Copy example configuration file
cp config.example.py config.py
Edit config.py with your settings
vim config.py # or use your preferred editor
Set required environment variables
export MCP_SECRET_KEY="your-secure-random-string" # Required export MCP_API_TOKEN="your-api-token" # Required export MCP_REDIS_PASSWORD="your-redis-password" # Optional export MCP_SMTP_PASSWORD="your-smtp-password" # Optional
4. Run the server:
```bash
python server.py
Configuration
Environment Variables
The following environment variables are supported:
| Variable |
Required |
Description |
Example |
MCP_SECRET_KEY |
Yes |
Secret key for session encryption |
openssl rand -hex 32 |
MCP_API_TOKEN |
Yes |
API authentication token |
openssl rand -hex 32 |
MCP_REDIS_PASSWORD |
No |
Redis server password |
your-redis-password |
MCP_SMTP_PASSWORD |
No |
SMTP server password |
your-smtp-password |
Configuration File
The server can be configured by copying config.example.py to config.py and editing the values. The configuration file supports:
- API settings (host, port, debug mode)
- Security settings (secret key, API token)
- Rate limiting rules
- Cache configuration
- Model settings
- Resource paths
- Monitoring options
- Logging configuration
- Email notifications
Important Security Notes:
- Never commit
config.py to version control
- Use strong, random values for
SECRET_KEY and API_TOKEN
- Store sensitive credentials in environment variables
- Keep your
.env file secure and never commit it
- Regularly rotate security credentials
Documentation
Architecture
Core Components
- Translation Engine
* MT5-based neural translation
* Context-aware processing
* Batch processing support
- Language Resources
* Comprehensive dictionary
* Grammar rule engine
* Morphological analyzer
* Parallel corpus
- System Features
* Efficient caching
* Performance monitoring
* Resource management
* Error handling
Performance
- Average translation latency: < 1s
- 95th percentile latency: < 2s
- Concurrent request handling: 100+ req/s
- Cache hit rate: > 80%
Monitoring
- Real-time metrics via Prometheus
- Visualizations through Grafana
- Automated alerting system
- Performance tracking
Contributing
We welcome contributions! Please see our Contributing Guide for details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Research paper authors
- Open-source community
- Contributors and maintainers
Contact
