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Program Comment Generation Through Distributed Representation Construction Using Parse Tree Information

机译:通过分布式表示构造使用解析树信息来编程生成

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Comments in the source code of a program are important for understanding that program. Understanding the logical flow and the overall procedure of programs is especially important as the next step for beginners learning the grammar of programming languages, and it is inferred that appropriate comments on the source code can support it. In this study, automatic generation of comments by neural networks that learned distributed representation from the parse tree information of the source code is proposed.
机译:程序的源代码中的评论对于理解该程序很重要。 了解逻辑流程和程序的整体过程尤其重要,因为初学者学习编程语言语法的下一步,并且推断出对源代码的适当评论可以支持它。 在本研究中,提出了从源代码的解析树信息中学习分布式表示的神经网络自动生成评论。

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