Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach

Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach

Pseudo-code refers to an informal means of representing algorithms that do not require the exact syntax of a computer programming language. Pseudo-code helps developers and researchers represent their algorithms using human-readable language. Generally, researchers can convert the pseudo-code into c...

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Bibliographic Details
Main Authors: Uzzal Kumar Acharjee, Minhazul Arefin, Kazi Mojammel Hossen, Mohammed Nasir Uddin, Md. Ashraf Uddin, Linta Islam
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Sequence-to-sequence learning model
natural language processing
pseudo-code
machine translation
source code
Online Access:https://ieeexplore.ieee.org/document/9723496/

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