Ahmed S. Soliman, Mayada M. Hadhoud, & Samir I. Shaheen. (2022). Marian CG: a code generation transformer model inspired by machine translation. Journal of Engineering and Applied Science, 69(1), 1-23. https://doi.org/10.1186/s44147-022-00159-4
ISO-690 (author-date, English)AHMED S. SOLIMAN, MAYADA M. HADHOUD und SAMIR I. SHAHEEN, 2022. Marian CG: a code generation transformer model inspired by machine translation. Journal of Engineering and Applied Science. 1 November 2022. Vol. 69, no. 1, p. 1-23. DOI 10.1186/s44147-022-00159-4.
Modern Language Association 9th editionAhmed S. Soliman, Mayada M. Hadhoud, und Samir I. Shaheen. „Marian CG: A Code Generation Transformer Model Inspired by Machine Translation“. Journal of Engineering and Applied Science, Bd. 69, Nr. 1, November 2022, S. 1-23, https://doi.org/10.1186/s44147-022-00159-4.
Mohr Siebeck - Recht (Deutsch - Österreich)Ahmed S. Soliman/Mayada M. Hadhoud/Samir I. Shaheen: Marian CG: a code generation transformer model inspired by machine translation, Journal of Engineering and Applied Science 2022, 1-23.
Emerald - HarvardAhmed S. Soliman, Mayada M. Hadhoud und Samir I. Shaheen. (2022), „Marian CG: a code generation transformer model inspired by machine translation“, Journal of Engineering and Applied Science, Vol. 69 No. 1, S. 1-23.