ARCHIVES

1]. Sharma, R., Verma, P., & Gupta, S. (2023). AI-powered women safety application using IoT and GPS tracking. International Conference on Emerging
Technologies in Security and Safety (ICETSS), pp. 145-152. IEEE.
[2]. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is All You Need. Advances in Neural
Information Processing Systems.
[3]. Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., ... & Dean, J. (2016). Google’s Neural Machine Translation System: Bridging the
Gap between Human and Machine Translation. arXiv preprint arXiv:1609.08144.
[4]. Cho, K., van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning Phrase Representations using
RNN Encoder- Decoder for Statistical Machine Translation. arXiv preprint arXiv:1406.1078.
[5]. Koehn, P. (2020). Neural Machine Translation. Cambridge University Press.
[6]. Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to Sequence Learning with Neural Networks. Advances in Neural Information Processing
Systems.
[7]. Kudo, T. (2018). Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates. arXiv preprint
arXiv:1804.10959.
[8]. Zhang, J., Wang, H., Liu, H., & Song, L. (2019). Improving Neural Machine Translation with Conditional Bilingual Mutual Information. arXiv
preprint arXiv:1909.06457.
[9]. Sun, Y., Wang, S., Li, Y., Feng, S., Tian, H., Wu, H., &Wang, H. (2020). ERNIE 2.0: A Continual Pre-training Framework for Language Understanding.
AAAI Conference on Artificial Intelligence.
[10]. Papineni, K., Roukos, S., Ward, T., & Zhu, W. (2002). BLEU: A Method for Automatic Evaluation of Machine Translation. Proceedings of the 40th
Annual Meeting of the Association for Computational Linguistics.
[11]. Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural Machine Translation by Jointly Learning to Align and Translate. arXiv preprint
arXiv:1409.0473.
[12]. Brown, P., Della Pietra, S., Della Pietra, V., & Mercer,R. (1993). The Mathematics of Statistical Machine Translation: Parameter Estimation.
Computational Linguistics, 19(2), 263-311.
[13]. Ott, M., Edunov, S., Grangier, D., & Auli, M. (2018). Scaling Neural Machine Translation. arXiv preprint arXiv:1806.00187.
[14]. Dong, D., Wu, H., He, W., Yu, D., & Wang, H. (2015). Multi-Task Learning for Multiple Language Translation. arXiv preprint arXiv:1508.01190.
[15]. He, D., Xia, Y., Qin, T., Wang, L., Yu, N., Liu, T. Y., &Ma, W. Y. (2016). Dual Learning for Machine Translation. Advances in Neural
Information Processing Systems.
[16]. Xiong, D., Zhang, M., & Li, H. (2006). Linguistically Annotated BTG for Statistical Machine Translation. Proceedings of the 21st International
Conference on Computational Linguistics.
[17]. Firat, O., Cho, K., & Bengio, Y. (2016). Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. arXiv preprint
arXiv:1601.01073.
[18]. Johnson, M., Schuster, M., Le, Q. V., Krikun, M., Wu,Y., Chen, Z., ... & Dean, J. (2017). Google’s Multilingual Neural Machine Translation System:
Enabling Zero-Shot Translation. Transactions of the Association for Computational Linguistics.
[19]. Arthur, P., Neubig, G., & Nakamura, S. (2016). Incorporating Discrete Translation Lexicons into Neural Machine Translation. arXiv preprint
arXiv:1606.02006.
[20]. Shen, S., Cheng, Y., He, Z., He, W., Wu, H., Sun, M., &Liu, Y. (2016). Minimum Risk Training for Neural Machine Translation. arXiv preprint
arXiv:1512.02433