2e0449f0-c9b7-4d19-912d-008c2719b4e2 beie director@blueeyesintelligence.org 10.35940/ijrte.A7538.0512123 Peter F. Brown et al, IBM, Thomas J. Watson Research Center, A Statistical Approach To Machine Translation (1990), Available at: https://aclanthology.org/J90-2002.pdfFranz Josef Och, Christoph Tillmann and Hermann Ney, University of Technology, Aachen, Germany, Improved Alignment Models for Statistical Machine Translation (2000), Available at: https://dl.acm.org/doi/10.3115/1075218.1075274Philipp Koehn, School of Informatics University of Edinburgh, Scotland, Europarl: A Parallel Corpus for Statistical Machine Translation (2001), Available at https://aclanthology.org/2005.mtsummit-papers.11/10.3115/1073083.1073135Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu, IBM T. J. Watson Research Center, USA, BLEU: a Method for Automatic Evaluation of Machine Translation (2002), Available at: https://aclanthology.org/P02-1040/ [CrossRef]Chris Callison-Burch, Miles Osborne and Philipp Koehn,School on Informatics, University of Edinburgh, Re- evaluating the Role of BLEU in Machine Translation Research (2006), Available at: https://aclanthology.org/E06-1032/10.3115/1614049.1614060Rashmi Gangadharaiah et al, Language Technologies Institute, Carnegie Mellon University, Application of Linguistic Rules to Generalized Example Based Machine Translation for Indian Languages(2006), Available at: http://www.cs.cmu.edu/~rgangadh/mspil06_rashmi_modified. pdf [CrossRef]Remya Rajan et al, National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba, Rule Based Machine Translation from Englis to Malayalam (2009), Available at: https://ieeexplore.ieee.org/document/5376582Unnikrishnan P et al, Computational Engineering and Networking Department, Amrita Vishwa Vidyapeetham, A Novel Approach for English to South Dravidian Language Statistical Machine Translation System (2010), Available at: http://www.enggjournals.com/Mary Priya Sebastian et al, r, Dept. of Computer Science, Rajagiri School of Engg. & Technology, A framework for translating English text into Malayalam using statistical models (2011), Available at: https://dyuthi.cusat.ac.in/xmlui/handle/purl/415010.18653/v1/2022.dravidianlangtech-1.28Aditya Vyawahare et al, Pune Institute of Computer Technology, Neural Machine Translation On DravidianLanguages(2011), https://aclanthology.org/2022.dravidianlangtech-1.28/ [CrossRef]Nithya B, Shibily Joseph, Dept. of CSE, Government Engineering College, Thrissur, A Hybrid Approach to English to Malayalam Machine Translation (2013), Available at: https://research.ijcaonline.org/volume81/number8/Mallamma V Reddy, Dr. M. Hanumanthappa , Department of Computer Science and Applications, Jnanabharathi Campus, Bangalore University, Nlp Challenges For Machine Translation From English To Indian Languages(2013),Available at: https://www.interscience.in/ijcsi/vol4/iss1/5/10.9790/3021-04111823Anju E S and Manoj Kumar K V, Dept. of Computer Science & Engineering, Government Engineering College Thrissur, Malayalam to English Machine Translation: An EBMT System (2014)Available at: http://iosrjen.org/Papers/vol4_issue1%20(part- 1)/C04111823.pdf [CrossRef]Asha Hegde, Ibrahim Gashaw and H. L. Shashirekha , Dept of Computer Science Mangalore University, Machine Translation for Dravidian Languages using Stacked Long Short Term Memory (2014),mAvailable at: https://aclanthology.org/2021.dravidianlangtech-1.50.pdfKyunghyun Cho et al, Universite de Montreal, On the Properties of Neural Machine Translation: Encoder-Decoder Approaches (2014), Available at: https://arxiv.org/abs/1409.1259/Xing Wang, Zhaopeng Tu, and Min Zhang, School of Computer Science and Technology, Soochow University, Incorporating Statistical Machine Translation Word Knowledge into Neural Machine Translation(2015), Available at: https://ieeexplore.ieee.org/document/8421063/authors#aut hors10.1109/CICT.2015.123Sandeep Saini and Vineet Sahula , Department of Electronics and Communication Engineering , Malviya National Institute of Technology Jaipur, A Survey of Machine Translation Techniques and Systems for Indian Languages (2015), Available at: https://ieeexplore.ieee.org/document/707878910.18653/v1/D15-1166Minh-Thang Luong, Hieu Pham and Christopher D. Manning, Computer Science Department, Stanford University, Effective Approaches to Attention-based Neural Machine Translation (2015), Available at: https://arxiv.org/abs/1508.04025Hamid Palangi, Yelong Shen, Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval (2015), Available at: https://arxiv.org/abs/1502.0692210.18653/v1/W15-3047Rohit Gupta et al, Research Group in ComputationalLinguistics, University of Wolverhampton, Machine Translation Evaluation using Recurrent Neural Networks (2015), Available at:https://aclanthology.org/W15-3047/ [CrossRef]10.5120/ijca2015905955Neeha Ashraf et al, Manzoor ahmad, research scholar computer sciences, university of Kashmir, Machine Translation Techniques and their Comparative Study (2015), Available at: https://citeseerx.Ist.Psu.Edu/ [CrossRef]Dr. Piyush kumar Pareek et al, Dept. of CSE, East west Institute of Technology, An Efficient Machine Translation Model for Dravidian Language (2017), Available at: https://ieeexplore.ieee.org/document/8256970Dr. (Mrs) V.Vidyapriya et al, Research Department of Computer Science, Quaid-E-Millath Govt. College for Women, Chennai, Neural Machine Translator for English to Tamil Translation using K-Means Clustering Algorithm (2018), Available at: http://ijream.org/papers/IJREAMV04I0945010.pdfSainik Kumar Mahata et al, Machine Translation Using Recurrent Neural Network on Statistical Machine Translation(2018), Available at: https://www.degruyter.com/document/doi/10.1515/jisys- 2018-0016/html/Sai Koneru, Danni Liu and Jan Niehues, Department of Data Science and Knowledge Engineering, Maastricht University, Unsupervised Machine Translation on Dravidian Languages (2018),Available at: https://aclanthology.org/2021.dravidianlangtech-1.7.pdfXu Tan et al, Microsoft Research, University of Science and Technology of China, Peking University, Multilingual Neural Machine Translation with Language Clustering (2019), Available at: https://arxiv.org/abs/1908.09324Bharathi Raja Chakravarthi et al, Bernardo Stearns, Insight Centre for Data Analytics, National University of Ireland Galway, Multilingual Multimodal Machine Translation for Dravidian Languages utilizing Phonetic Transcription (2019), Available at: https://aclanthology.org/W19-6809.pdfBharathi Raja Chakravarthi et al,Insight Centre for Data Analytics, Data Science Institute, National University of Ireland Galway, Comparison of Different Orthographies for Machine Translation of Under-Resourced Dravidian Languages(2019), Available at: https://drops.dagstuhl.de/opus/volltexte/2019/10370/10.1515/jisys-2019-2510B. Premjith et al, Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, M. Anand Kumar and K.P. Soman, Neural Machine Translation System for English to Indian Language Translation Using MTIL Parallel Corpus(2019),Availableat:https://www.degruyter.com/document/doi/10.1515/jisys- 2019-2510/html?lang=en [CrossRef]10.1145/3407912ASHWANI TANWAR et al, Dhirubhai Ambani Institute of Information and Communication Technology, Translating Morphologically Rich Indian Languages under Zero- Resource Conditions(2020),Available at: https://dl.acm.org/doi/10.1145/3407912/ [CrossRef]10.1109/ICTer51097.2020.9325431Ashman Pramodya, Randil Pushpananda and Ruvan Weerasinghel, Language Technology Research Laboratory, University of Colombo School of Computing, A Comparison of Transformer, Recurrent Neural Networks and SMT in Tamil to Sinhala MT (2020), Available at: https://ieeexplore.ieee.org/document/9325431 [CrossRef]Pushpalatha Kadavigere Nagaraj et al, Kannada to English Machine Translation Using Deep Neural Network (2020), Available at: https://www.iieta.org/journals/isi/paper/10.18280/isi.2 6011T. Madhavi Kumari et al, Associate Professor, Dept. of ECE, JNTUH CEH, Neural Machine Translation System of Dravidian Languages(2021), Available at: https://www.academia.edu/en/49557241/_IJCST_V9I1P2 0Karthik Puranik, Adeep Hande, Attentive fine-tuning of Transformers for Translation of low-resourced languages (2021), Available at https://aclanthology .org /2021 .mtsummit- loresmt.14.pdfRaj Prajapati et al, DA-IICT / Gandhinagar, India, Neural Machine Translation(2021), Available at: https://aclanthology.org/2021.dravidianlangtech-1.3610.1007/s10590-021-09263-3Shubham Dewangan et al, Experience of neural machine translation between Indian languages (2021), Available at: https://doi.org/10.1007/s10590-021-09263- 3/10.1155/2022/7873012Syed Abdul, Basit Andrabi and Abdul Wahid, Department of Computer Science and Information Technology, Maulana Azad National Urdu University, Machine Translation System Using Deep Learning for English to Urdu (2022), Available at: https://www.hindawi.com/journals/cin/2022/7873012/ [CrossRef]Ashalatha Nayak et al, Department of Computer Science & Engineering, Manipal Institute of Technology, Machine Translation in Dravidian Languages (2022), Available at: https://aclanthology.org/2022.dravidianlangtech-1.19/Ralf D. Brown, Center for Machine Translation, Carncgie Mellon Universityf, Pittsburgh, Example-Based Machine Translation in the Pangloss System (2022), Available at: https://dl.acm.org/doi/10.3115Nadeem Jadoon Khan et al, COMSAT University, Machine Translation Approaches and Survey for Indian Languages (2022), Available at: https://arxiv.org/abs/1701.04290