![]() ![]() The trained models used by translation service providers are somewhat of a "secret sauce", so it is unlikely these would be made available to developers for free any time soon for use in offline translation, but its completely possible that quality open source or otherwise free translation models will be developed and released by the ML community or third parties. For now you'd need to roll your own, for example as you've mentioned using TensorFlow and the sample models. If you're looking for the one perfect Java library for offline, neural based translation that has already been developed and ready to use you'd be out of luck. Mature translation libraries exist in the form of Apache Joshua and Stanford Phrasal, however these are based on statistical rather than neural models. Both Google Translate offline and Microsoft Translator offline exist, but these are implemented as applications and not exposed as a developer accessible client library. There are no web APIs that could operate in offline mode alone, without a client library component providing some offline functionality, since the nature of a web API is that that you are making requests to an external host.
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