Ismail, K., Abdou, S., Farouk, M., & Salem, A. (2025). Transformers to the rescue: Alleviating data scarcity in arabic grammatical error correction with pre-trained models. Neural Computing & Applications, 37(18), 13011. https://doi.org/10.1007/s00521-025-11145-1
Chicago Style (17th ed.) CitationIsmail, Karim, Sherif Abdou, Mohamed Farouk, and Ahmed Salem. "Transformers to the Rescue: Alleviating Data Scarcity in Arabic Grammatical Error Correction with Pre-trained Models." Neural Computing & Applications 37, no. 18 (2025): 13011. https://doi.org/10.1007/s00521-025-11145-1.
MLA (9th ed.) CitationIsmail, Karim, et al. "Transformers to the Rescue: Alleviating Data Scarcity in Arabic Grammatical Error Correction with Pre-trained Models." Neural Computing & Applications, vol. 37, no. 18, 2025, p. 13011, https://doi.org/10.1007/s00521-025-11145-1.