Idiomatizing Python Source Code Using Different Recurrent Architectures

Author:

Szalontai Balázs,Márton Tamás,Kukucska Ákos,Pintér Balázs,Gregorics Tibor

Publisher

Springer Nature Switzerland

Reference44 articles.

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2. Alhefdhi, A., Dam, H.K., Hata, H., Ghose, A.: Generating pseudo-code from source code using deep learning. In: 2018 25th Australasian Software Engineering Conference (ASWEC), pp. 21–25 (2018)

3. Alon, U., Brody, S., Levy, O., Yahav, E.: code2seq: generating sequences from structured representations of code (2019)

4. Anand Babu, G.L., Badugu, S.: Deep learning based sequence to sequence model for abstractive Telugu text summarization. Multimedia Tools Appl. 82(11), 17075–17096 (2023)

5. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2016)

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