"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Machine Translation has been one of the prominent areas of research in Artificial Intelligence (AI) and Natural Language Processing (NLP). Although this area has seen a lot of research and we have achieved some major breakthroughs, but still a fully automatic high-quality machine translation remains a distant possibility. One of the major reasons is the lack of resources in the languages for which the translation is to done. One major bottleneck is lack of availability of parallel corpus. In this research, we have tried to address this issue. When we don’t have parallel corpus available corpus available for a particular language pair then how can we implement a machine translation system for it.
Syed Afroz Ahmed, Nisheeth Joshi, Syed Afroz Ahmed
Dr Syed Afroz Ahmad is an Adjunct Faculty at University of Fujairah, UAE. He has over 20 years of teaching experience. His research area is Data Analytics, Machine Translaion, Natural Languaeg Processing and Internet of Things and have published several papers in this area. Dr Ahmad has also published a book on MS Excel.
Dr. Nisheeth Joshi is an Associate Professor at Banasthali Vidyapith, India. He has done his Ph.D. in the area of Natural Language Processing. Being involved in teaching and research for over 15 years, he has developed the art of explaining even the most complicated topics in a straight forward and lucid manner. He also has vast experience in handling large scale research projects. This has helped him in developing practical insights into complex AI systems.
He is the recipient of the prestigious ISTE-U.P. Government National Award for Outstanding Work Done in Specified Areas of Engineering and Technology. He has authored several papers in international journals and conferences of repute. The topics on which he has published include Machine Translation Evaluation, POS Tagging, Morphology, Named Entity Recognition, Text Simplification etc. He has authored three books and two MOOCs. Two of his books have been translated into Chinese and one has been translated into Korean.
Dr. Joshi has also been an active reviewer who regularly reviews papers from Computer Speech and Language (Elsevier), International Journal for Intelligent Systems (Wiley), IEEE Access, IEEE Transactions on Cognitive and Developmental Systems, ACM Transactions on Asian and Low Resource Language Information Processing and Journal of Theoretical and Experimental Artificial Intelligence (Taylor and Francis). He is also a member of technical programme committees of International Conferences being organized in India and abroad. Some of these conferences are in their 15th/16th editions.
Dr. Joshi has also been a mentor and consultant to various start-ups working in the area of Cognitive Computing, Natural Language Processing, Speech Processing, Multimodal Information Retrieval and Machine Translation. He was also a consultant to C-DAC Pune where he developed the evaluation methodology for Mantra Machine Translation System. This Machine Translation System is being used by Rajya Sabha, the Upper House of Parliament of India and Department of Official Languages, Government of India. He has two technology transfers and four copyrights to his credit.
