Update README.md

README.md

@@ -47,12 +47,40 @@ The baseline is the [Multilingual BERT](https://github.com/google-research/bert/
 The model is trained on the following corpora (stats in the table below are after cleaning):
 
 | Corpus    	| Lines(M) 	| Words(M) 	| Chars(B) 	| Size(GB) 	|
-|-----------	|:--------:	|:--------:	|:--------:	|:--------:	|
+|-----------|:--------:|:--------:|:--------:|:--------:|
 | OPUS      	|   55.05  	|  635.04  	|   4.045  	|    3.8   	|
 | OSCAR     	|   33.56  	|  1725.82 	|  11.411  	|    11    	|
 | Wikipedia 	|   1.54   	|   60.47  	|   0.411  	|    0.4   	|
 | **Total**     	|   **90.15**  	|  **2421.33** 	|  **15.867**  	|   **15.2**   	|
 
+
+### Citation
+
+If you use this model in a research paper, I'd kindly ask you to cite the following paper:
+
+```
+Stefan Dumitrescu, Andrei-Marius Avram, and Sampo Pyysalo. 2020. The birth of Romanian BERT. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4324–4328, Online. Association for Computational Linguistics.
+```
+
+or, in bibtex:
+
+```
+@inproceedings{dumitrescu-etal-2020-birth,
+    title = "The birth of {R}omanian {BERT}",
+    author = "Dumitrescu, Stefan  and
+      Avram, Andrei-Marius  and
+      Pyysalo, Sampo",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.findings-emnlp.387",
+    doi = "10.18653/v1/2020.findings-emnlp.387",
+    pages = "4324--4328",
+}
+```
+
 #### Acknowledgements
 
 - We'd like to thank [Sampo Pyysalo](https://github.com/spyysalo) from TurkuNLP for helping us out with the compute needed to pretrain the v1.0 BERT models. He's awesome!