Update README.md

README.md

@@ -6,6 +6,8 @@ Developed by Moussaoui Otman and El Younoussi Yacine.
 ## About MorrBERT
 MorrBERT, specifically tailored for the Moroccan dialect, is structured identically to BERTBASE. The training process took approximately 120 hours to complete 12 epochs using the entire training set. A massive corpus of six million Moroccan dialect sentences, totaling 71 billion tokens, was utilized to train this model.
 
+For more information, please visit our paper: https://mendel-journal.org/index.php/mendel/article/view/223/200
+
 ## Usage
 The model weights can be loaded using transformers library by HuggingFace.
 
@@ -18,6 +20,12 @@ model = AutoModel.from_pretrained("otmangi/MorrBERT")
 ## Acknowledgments
 This research was supported through computational resources of HPC-MARWAN (www.marwan.ma/hpc) provided by the National Center for Scientific and Technical Research (CNRST). Rabat. Morocco.
 
+## How to cite
+@article{Moussaoui_El Younnoussi_2023, title={Pre-training Two BERT-Like Models for Moroccan Dialect: MorRoBERTa and MorrBERT}, 
+volume={29}, url={https://mendel-journal.org/index.php/mendel/article/view/223}, 
+DOI={10.13164/mendel.2023.1.055}, number={1}, journal={MENDEL}, author={Moussaoui, Otman and El Younnoussi, Yacine}, 
+year={2023}, month={Jun.}, pages={55-61} }
+
 ## Contact
 For any inquiries, feedback, or requests, please feel free to reach out to :