OSU-STARLAB/Simul-LLM
[ACL 2024] An easily extensible framework for simultaneous, text-to-text neural machine translation (SimulMT) for LLMs.
This framework helps machine translation researchers and developers build and evaluate custom large language models for simultaneous translation. You provide text in one language, and it translates into another language almost instantly, without waiting for the full sentence. It's used by researchers and engineers developing next-generation real-time translation systems.
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Use this if you are a researcher or developer working on advanced simultaneous machine translation models and need a flexible pipeline to fine-tune and evaluate LLMs for this specific task.
Not ideal if you're an end-user looking for a ready-to-use real-time translation application; this is a development tool, not a finished product.
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Language
Python
License
MIT
Category
Last pushed
Apr 21, 2025
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