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Microsoft today announced an update to its translation services that, thanks to new machine learning techniques, promises significantly improved translations between a large number of language ...
While this dataset could theoretically be used to generate entirely new sequences of code, like what GPT-3 does with English, CodeNet’s strength lies within its ability to translate.
The fixes range from literal code changes — changing name: String, to name: {type: String}, — to suggestions for code that might be actually missing in function calls. It’s an interesting ...
(Translation of known languages is, of course, also a part of the Star Trek universal translator, and on some occasions Star Trek linguists have to tweak the linguistic internals manually.)
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]