MCP Translation Server
by KYBvWHxW
MCP Translation Server is a high-performance machine translation system specializing in Manchu-Chinese bidirectional translation. It leverages advanced linguistic processing and deep learning techniques to provide comprehensive solutions for low-resource language translation.
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What is MCP Translation Server?
MCP Translation Server is a machine translation system designed for bidirectional translation between Manchu and Chinese, utilizing advanced linguistic processing and deep learning.
How to use MCP Translation Server?
To use the server, clone the repository, set up the environment, configure the settings, and run the server using the provided commands. API endpoints are available for translation and morphological analysis.
Key features of MCP Translation Server
Enhanced morphological analysis with full Manchu language rule support, precise vowel harmony analysis, and smart word form change prediction
Advanced translation engine with multi-level translation strategies, intelligent corpus matching, and morphological analysis integration
Rich language resources including a complete language rule system, expanded parallel corpus, and optimized dictionary structure
MT5-based neural translation
Use cases of MCP Translation Server
Translating Manchu texts into Chinese
Translating Chinese texts into Manchu
Analyzing the morphology of Manchu words
Developing language learning tools for Manchu
FAQ from MCP Translation Server
What languages does the server support?
What languages does the server support?
The server primarily supports Manchu-Chinese bidirectional translation.
What are the system requirements?
What are the system requirements?
The server requires Python 3.12+ and Docker is supported. See the README for detailed setup instructions.
How do I contribute to the project?
How do I contribute to the project?
Fork the repository, create a feature branch, commit your changes, push to the branch, and open a pull request.
What license is the project under?
What license is the project under?
The project is licensed under the MIT License.
Where can I find the API documentation?
Where can I find the API documentation?
API Documentation can be found in the docs directory.