3 ms·

Deep learning for source to source computer language translation?

6 points by naveen99 7y ago

Anyone know of any recent work on deep learning for source to source computer language translation ? Since go and real time strategy games were the last out of reach items for machine learning, i feel like this is the next thing that's out of reach of deep learning.

colinchartier 7y ago
The only thing I've seen are graph convolutional networks: https://tkipf.github.io/graph-convolutional-networks/ https://tkipf.github.io/graph-convolutional-networks/ Deep learning is "messy" - it's hard to use the output of a deep neural network for something as precise as a program, unless maybe as a heuristic with a rigorous "equivalency" harness.
- naveen99 7y ago
  programs are precise, but not unique. so a little messiness can be tolerable.
  - psv1 7y ago
    Not really. A little messiness to the human eye is equal to an error for a compiler, which isn't tolerable at all.
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softmodeling 7y ago
We did some research work on model-to-model translations (in the end, it's basically the same problem) and we ended up with mixed feelings (as we explain in the article: https://modeling-languages.com/lstm-neural-network-model-transformations/ https://modeling-languages.com/lstm-neural-network-model-tra... ). Mostly, right now (IMHO) you can only get some success translating very short pieces of code. We used LSTMs for that (which seems to be the more usual approach in this domain)