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In this survey paper, we overview major deep learning methods used in NaturalLanguage Processing (NLP) and source code over the last 35 years. Next, wepresent a survey of the applications of Artificial Intelligence (AI) for sourcecode, also known as Code Intelligence (CI) and Programming Language Processing(PLP). We survey over 287 publications and present a software-engineeringcentered taxonomy for CI placing each of the works into one category describinghow it best assists the software development cycle. Then, we overview the fieldof conversational assistants and their applications in software engineering andeducation. Lastly, we highlight research opportunities at the intersection ofAI for code and conversational assistants and provide future directions forresearching conversational assistants with CI capabilities.

A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective