Balancing quality and efficiency: An improved non-autoregressive model for pseudocode-to-code conversion

Author:

Xu Yongrui,Zheng Shang,Zou HaitaoORCID,Yu Hualong,Gao Shang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Sequence-to-sequence learning-based conversion of pseudo-code to source code using neural translation approach;Acharjee;IEEE Access,2022

2. Program synthesis with large language models;Austin,2021

3. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments;Banerjee,2005

4. The impact of lexical and grammatical processing on generating code from natural language;Beau,2022

5. Findings of the 2014 workshop on statistical machine translation;Bojar,2014

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