This invention describes a system designed to fix inconsistencies between the different dictionaries used in speech translation. It uses a central dictionary server that stores all the necessary linguistic information for multiple languages, covering speech recognition, translation, and speech synthesis. This server then sends consistent data to the separate speech recognition, translation, and speech synthesis servers, ensuring they all work from the same linguistic understanding.
Why it matters: Filed before the widespread adoption of neural networks and large language models. These advancements could now automate much of the complex, multi-lingual dictionary creation and consistency checking that was a significant manual hurdle.
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