2017
Learning to Align the Source Code to the Compiled Object Code
ICML 2017poster
We propose a new neural network architecture and use it for the task of statement-by-statement alignment of source code and its compiled object code. Our architecture learns the alignment between the two sequences – one being the translation of the other – by mapping each statement to a context-depe…