In recent times, more and more machine learning techniques find their application to various code analysis tasks. Such tasks include: autocomplete, commit descriptions generation, code commenting, duplicate search etc.
Neural machine translation is currently a state-of-the-art method for automatic translation. We will discuss how to apply this method to source code to "translate" from an incorrect code to correct one.
Speaker: Artem Lobanov.
Presentation language: Russian.
Date and time: February 27th, 20:00-21:30.
Location: Times, room 204.
Videos from previous seminars are available at http://bit.ly/MLJBSeminars