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• W2990847456 abstract "We propose GANCoder, an automatic programming approach based on Generative Adversarial Networks (GAN), which can generate the same functional and logical programming language codes conditioned on the given natural language utterances. The adversarial training between generator and discriminator helps generator learn distribution of dataset and improve code generation quality. Our experimental results show that GANCoder can achieve comparable accuracy with the state-of-the-art methods and is more stable when programming languages." @default.
• W2990847456 created "2019-12-05" @default.
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• W2990847456 date "2019-12-02" @default.
• W2990847456 modified "2023-09-24" @default.
• W2990847456 title "GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN" @default.
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• W2990847456 doi "https://doi.org/10.48550/arxiv.1912.00609" @default.
• W2990847456 hasPublicationYear "2019" @default.
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