changing citation and some minor changes

README.md

@@ -116,18 +116,21 @@ Additionally, 4,000 English-Karakalpak pairs were sourced from the Gatitos Proje
 
 ## Data Preparation
 
-The data mining process involved local mining techniques, ensuring that parallel sentences were extracted from translations of the same book, document, or article. Sentence alignment was performed using LaBSE (Language-agnostic BERT Sentence Embedding) embeddings.
+The data mining process involved local mining techniques, ensuring that parallel sentences were extracted from translations of the same book, document, or article. Sentence alignment was performed using LaBSE (Language-agnostic BERT Sentence Embedding) embeddings. For more information, plase refet to [our paper](https://arxiv.org/abs/2409.04269).
 
 ## Citation
 
 If you use this dataset in your research, please cite our paper:
 
 ```bibtex
-@inproceedings{mamasaidov2024advancing,
-  title={Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak},
-  author={Mamasaidov, Mukhammadsaid and Shopulatov, Abror},
-  booktitle={Proceedings of the OLDI Workshop},
-  year={2024}
+@misc{mamasaidov2024openlanguagedatainitiative,
+      title={Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak}, 
+      author={Mukhammadsaid Mamasaidov and Abror Shopulatov},
+      year={2024},
+      eprint={2409.04269},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2409.04269}, 
 }
 ```
 
@@ -141,6 +144,8 @@ We are thankful to these awesome organizations and people for helping to make it
  - [Atabek Murtazaev](https://www.linkedin.com/in/atabek/): for advise throughout the process
  - Ajiniyaz Nurniyazov: for advise throughout the process
 
+We would also like to express our sincere appreciation to [Google for Startups](https://cloud.google.com/startup) for generously sponsoring the compute resources necessary for our experiments. Their support has been instrumental in advancing our research in low-resource language machine translation.
+
 ## Contacts
 
 We believe that this work will enable and inspire all enthusiasts around the world to open the hidden beauty of low-resource languages, in particular Karakalpak.