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opus-mt

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High-performance, asynchronous translation service leveraging the Helsinki-NLP OPUS-MT zh-en model optimized via CTranslate2. The solution provides a RESTful API endpoint that accepts Chinese text input and returns English translations with sub-second latency. Development supported by DeepSeek.

  • Updated Aug 18, 2025
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Modular monolith serving a LoRA fine-tuned Helsinki-NLP opus-mt-en-es translation model, training about 0.38 percent of parameters on the opus_books corpus, with sentence-aware chunking to avoid silent truncation, deterministic beam-search decoding, a thread-safe TTL cache, proxy-aware rate limiting, and a 193-test CI suite on Docker and Render.

  • Updated Aug 5, 2026
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