INTEGRATING INFORMATION FROM NATURAL LANGUAGE PARSE TREE TO CODE GENERATION

Hung D Phan, Ali Jannesari

Keywords: natural language parse tree, code generation, neural machine translation

TL;DR: NLPTAnalyzer

Abstract: While more and more research works have considered Natural Language artifacts as the inputs of software engineering research, such as code generation, information about their graph/tree representations needs to be carefully considered. In this work, we propose an approach for integrating information on NLPT on multiple problems in SE tasks. The preliminary experiment shows that augmenting information of NLPT can improve the code generation from pseudocode.