Unsupervised translation of programming languages
This paper is very interesting, but as with many recent company-funded DNN-related publications, I am missing some technical information here.Publications by universities will almost always include details like dataset sizes, hardware used, and durations for pre-processing, training, and inference.As-is, this paper leaves me puzzled as to whether this novel solution is even practical in any way shape or form.If I essentially need the computational resources of a medium-sized data centre to prepare the data, and train the system for adding a new language-pair or fine-tuning an existing one, it'd not be a practical method outside of the Four Horsemen (GAFA) and their closest competitors...I applaud the use of computational accuracy as the primary metric for evaluating the results, though.