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At the end of my blog post yesterday I hinted at an exciting possible approach to Ubiquity’s localization:

In the future we ideally could build a web-based system to collect these “utterances.” We could … generate parser parameters based on those sentences. That would essentially reduce the parser-construction process to a more run-of-the-mill string translation process.

If we build this type of “command-bank” of common Ubiquity input translated into various languages, we could build a tool to learn various features of each language and generate each parser, essentially learning the language based on data. Today I’ll elaborate on how I believe this could be possible, by analogy to another language learning device: the human.

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