Qwen-MT - A machine translation model introduced by Ali Tongyi

What is Qwen-MT

Qwen-MT is an advanced Qwen-MT - a machine translation model introduced by Ali Tongyi Thousand Questions team, based on a powerful Qwen3 The model is based on a lightweight MoE architecture and supports interoperability in 92 languages, covering a global population of more than 95%. The model is based on a lightweight MoE architecture with low latency and low cost per million outputs. token Qwen-MT provides terminology intervention, domain hints, and translation memories, and supports highly customized translation styles to meet the needs of complex professional scenarios. qwen-MT performs well in both automatic and human evaluation, translating accurately and smoothly for a wide range of scenarios, including cross-lingual content creation, enterprise internationalization, education, legal and government affairs, and technology development, making it an ideal choice for efficient and intelligent translations. Qwen-MT is the ideal choice for efficient and intelligent translation.

Qwen-MT - 阿里通义推出的机器翻译模型

Main functions of Qwen-MT

  • multilingualismIt supports translation from and to 92 mainstream languages and dialects, covering more than 95% of the world's population and meeting a wide range of cross-language communication needs.
  • Highly customizableWith the functions of terminology intervention, domain hints and translation memory, users can adjust the translation style according to their own needs and adapt to various professional scenarios.
  • Low Latency and Low Cost: Based on lightweight MoE architecture, fast response time, low cost of API calls, suitable for applications with high concurrency and real-time requirements.
  • High-quality translations: Outperforms in both automated and manual evaluations, translates accurately and smoothly, and supports multi-domain translation tasks.

Qwen-MT's official website

  • Project website:: https://qwenlm.github.io/blog/qwen-mt/
  • Online Experience Demo:: https://huggingface.co/spaces/Qwen/Qwen3-MT-Demo

How to use Qwen-MT

  • Visit the website and experience the Demo::
    • Project websiteVisit the Qwen-MT website for detailed information about the model, its technical parameters and application scenarios.
    • Online Experience: Quickly test the translation functionality by experiencing it online with Hugging Face's Qwen-MT Demo.
  • API calls (for developers)::
    • Registering and Getting API Keys: Register an account at AliTongyiQianQianQian or related platforms to get the API key used to call Qwen-MT.
    • Integration into applicationsQwen-MT can be integrated into your own application or system based on the API documentation provided, which supports a variety of programming languages and can be called by developers according to their needs.
    • Setting parameters: Customize translation styles and results based on API parameters to meet specific needs using the terminology intervention, domain hints, and translation memories provided by Qwen-MT.

Core Advantages of Qwen-MT

  • Powerful multi-language supportIt supports translation from and to 92 languages and dialects, covering more than 95% of the world's population and meeting a wide range of cross-linguistic needs.
  • Highly customizableTerminology intervention, domain hints and translation memory functions are provided, and users can customize their translation style to adapt to complex professional scenarios.
  • Low Latency and Low Cost: Based on a lightweight MoE architecture, it is responsive and the cost of API calls is as low as $0.5 per million output tokens.
  • High-quality translations: Combining powerful base models with reinforcement learning optimizations, translations are accurate and smooth, supporting multi-domain tasks.
  • Flexible application scenarios: for a wide range of fields such as cross-language content creation, corporate internationalization, education, law and government, and technology development.
  • technological superiority: Based on the latest Qwen3 The architecture is developed to incorporate advanced natural language processing techniques to continuously optimize performance.

People for whom Qwen-MT is suitable

  • Content creators and the media: News media, social media operators and content platforms quickly translate content into multiple languages to expand distribution and user interaction.
  • Corporate & Business People: Multilingual support for multinational corporations, customer service teams and business communicators to enhance internationalization and customer satisfaction.
  • Educators and learners: Online education platforms, academic researchers and language learners facilitate the sharing of educational resources and international academic exchanges through multilingual translations provided by Qwen-MT.
  • Legal and governmental institutions: Translation of legal documents and government information by legal practitioners and government departments to ensure legal accuracy and enhance the internationalization of public services.
  • Technology Developer: Software developers and API integration developers integrate Qwen-MT into their applications for software localization and technical documentation translation, improving the efficiency of technical communication.
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