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

1. 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

2. 翻译引擎 (enhanced_translation.py)

   • 多级翻译策略
   • 语料库匹配
   • 形态分析集成

3. 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

1. Fork 本仓库
2. 创建特性分支 (git checkout -b feature/AmazingFeature)
3. 提交更改 (git commit -m 'Add some AmazingFeature')
4. 推送到分支 (git push origin feature/AmazingFeature)
5. 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:

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:

1. Never commit config.py to version control
2. Use strong, random values for SECRET_KEY and API_TOKEN
3. Store sensitive credentials in environment variables
4. Keep your .env file secure and never commit it
5. Regularly rotate security credentials

Documentation

• API Documentation
• Usage Examples
• Operations Guide
• Contributing Guide

Architecture

Core Components

1. Translation Engine

   • MT5-based neural translation
   • Context-aware processing
   • Batch processing support

2. Language Resources

   • Comprehensive dictionary
   • Grammar rule engine
   • Morphological analyzer
   • Parallel corpus

3. 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

• GitHub Issues: For bug reports and feature requests
• Email: your.email@example.com
• Documentation: Full Documentation
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