Computer Science, Artificial Intelligence, Information Systems and Management, Computer Networks and Communications
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Scopus Publications
Scopus Publications
An Intelligent Shift Towards High-Performance Database Engines Including Autonomous Databases Using Derived Transient Objects from the Persistent at the Runtime Pankaj K. Goswami, Avinash Sharma 2021 IEEE International Conference on Technology Research and Innovation for Betterment of Society Tribes 2021, 2021 Database as the organized backend support is creating the usefulness of the online applications. The structured arrangement of data plays a vital role while accessing the information quickly and easily. The next generation of databases will be an increasingly diverse array of database technologies using massive analytics and Big Data. The adaptability of the object-oriented and autonomous database is taking place for future applications based on real-time data.
Multi-engine machine translation of technical e-contents from English to Hindi: Evaluated by fluency & adequacy Pankaj K. Goswami Proceedings of the Wccce 2016 the 21st Western Canadian Conference on Computing Education, 2016 Machine translation engines are helpful to convert translation from one source language to other target language with ease of mind for the native user. The status of machine translation engines is good when it is used only for indicative reference on the resultant translation and least dependency on it. The native user who want to use the machine translation system and highly dependent on it then the quality of translation needs to be well refined.
An empirical study on English to Hindi E-contents Machine Translation through multi engines Pankaj K. Goswami, Sanjay K. Dwivedi Proceedings 2014 3rd International Conference on Reliability Infocom Technologies and Optimization Trends and Future Directions Icrito 2014, 2015 Empirical study presented here about the comparative view of translations through freely available English to Hindi machine translation engines. The selected Machine Translation engines are compared for computer science related text domain. The objective is to present the comparison amongst eight selected machine translation engines based on various comparison criteria. Three different English source text of computer science domain have randomly picked and translated those with eight selected engines. The outputs produced by different selected engines are compared on the basis of comparison criteria. The best fluent translation has been judged by expert human translator and assumed this translation as required quality translation of respective source text. This empirical study will be helpful in designing of Multi Engine Machine Translation architecture for domain specific English to Hindi language pair.
