BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?

Understand

Millions of repetitive code snippets are submitted to code repositories every day.

• To search from these large codebases using simple natural language queries would allow programmers to ideate, prototype, and develop easier and faster.
• Although the existing methods have shown good performance in searching codes when the natural language description contains keywords from the code, they are still far behind in searching codes based on the semantic meaning of the natural language query and semantic structure of the code.
• In recent years, both natural language and programming language research communities have created techniques to embed them in vector spaces.