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              <text>Cognitive technology for the Indian higher education: A Language teaching and Learning application</text>
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              <text>Cognitive technology; Education technology; Learning management system; Machine Learning; Natural Language Processing</text>
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              <text>Past decade witnessed a technological boom in the world. Regardless of the age every person in the world owns a mobile device which can be connected to internet. The technologies and applications for these mobile devices are one of the inevitable part people's day to day lives. The past decade also evidenced the development of Artificial Intelligence, Machine Learning (ML), Natural Language Processing (NLP), Image Processing (IP), Speech Recognition (SR) and Big DataAnalytics (BDA), etc. which lead to the development of Intelligent applications for the fields like business, health care, weather, media, etc. The field which uses the technology in a slow pace is education system. This paper is majorly focused on the Indian higher education system and the technologies used in their teaching and learning. One of the major drawbacks of Indian higher education system is the traditional teacher centric teaching and learning process. The usage of technology in their education system limited to chock and board to power point presentation. Some of the elite Universities in India uses Massive Online Open Courses (MOOC) but majority of the education institution still follows the old method of teaching and learning. This paper profiles cognitive technology based applications which can be used for the betterment of current system. The proposed model in this paper is for the language course learning. The application is centered on ML and NLP. Copyright  2019 American Scientific Publishers All rights reserved.</text>
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              <text>George F.J.P.; Vinay M.</text>
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              <text>Journal of Computational and Theoretical Nanoscience, Vol-16, No. 45813, pp. 2368-2371.</text>
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              <text>American Scientific Publishers</text>
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              <text>2019-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1166/jctn.2019.7901" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1166/jctn.2019.7901&lt;/a&gt;
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              <text>ISSN: 15461955</text>
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              <text>George F.J.P., Department of Management, Christ Institute of Management, Lavasa, Maharashtra, 412112, India; Vinay M., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India</text>
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