Natural Language to Python Source Code using Transformers
Meet K. Shah, Rajat Shenoy, Radha Shankarmani · 2021 International Conference on Intelligent Technologies (CONIT) · 2021
Writing code using natural language is a very exciting application of Neural Machine Translation. To achieve a small part of such an application, in this paper, we try to generate python source code snippets from natural English language descriptions using the Django dataset. We trained the self-attention based transformer architecture on the snippets from the dataset. We achieved a BLEU score of 64.29