Issue #19 – Adaptive Neural MT

29 Nov18 Issue #19 – Adaptive Neural MT Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic Neural Machine Translation is known to be particularly poor at translating out-of-domain data. That is, an engine trained on generic data will be much worse at translating medical documents than an engine trained on medical data. It is much more sensitive to such differences than, say, Statistical MT. This problem is partially solved by domain adaptation techniques, which we covered in Issue #9 […]

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