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Institution

Mahatma Gandhi Antarrashtriya Hindi Vishwavidyalaya

EducationWardha, Maharashtra, India
About: Mahatma Gandhi Antarrashtriya Hindi Vishwavidyalaya is a(n) education organization based out in Wardha, Maharashtra, India. It is known for research contribution in the topic(s): Spirituality & Autoencoder. The organization has 7 authors who have published 11 publication(s) receiving 24 citation(s). The organization is also known as: Mahatma Gandhi International Hindi University & Wardha University.

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BookDOI
30 Sep 2020
Abstract: education which integrates indigenous theories and cultural practices. It focuses on the need to diversify and reorient social work curriculum to include indigenous traditions of service, charity and volunteerism to help social work evolve as a profession in India. The volume analyzes the history of social work education in India and how the discipline has adapted and changed in the last 80 years. It emphasizes the need for the Indianization of social work curriculum so that it can be applied to the socio-cultural contours of a diverse Indian society. The book delineates strategies and methods derived from meditation, yoga, bhakti and ancient Buddhist and Hindu philosophy to prepare social work practitioners with the knowledge, and skills, that will support and enhance their ability to work in partnership with diverse communities and indigenous people. This book is essential reading for teachers, educators, field practitioners and students of social work, sociology, religious studies, ancient philosophy, law and social entrepreneurship. It will also interest policy makers and those associated with civil society organizations.

9 citations

Proceedings ArticleDOI
21 Dec 2018
TL;DR: A deep learning based approach to assign POS tags to words in a piece of text given to it as input and uses the untagged Sanskrit Corpus prepared by JNU for the tag assignment purpose and determining model accuracy.
Abstract: In this paper, we present a deep learning based approach to assign POS tags to words in a piece of text given to it as input. We propose an unsupervised approach owing to the lack of a large Sanskrit annotated corpora and use the untagged Sanskrit Corpus prepared by JNU for our purpose. The only tagged corpora for Sanskrit is created by JNU which has 115,000 words which are not sufficient to apply supervised deep learning approaches. For the tag assignment purpose and determining model accuracy, we utilize this tagged corpus. We explore various methods through which each Sanskrit word can be represented as a point multi-dimensional vector space whose position accurately captures its meaning and semantic information associated with it. We also explore other data sources to improve performance and robustness of the vector representations. We use these rich vector representations and explore autoencoder based approaches for dimensionality reduction to compress these into encodings which are suitable for clustering in the vector space. We experiment with different dimensions of these compressed representations and present one which was found to offer the best clustering performance. For modelling the sequence in order to preserve the semantic information we feed these embeddings to a bidirectional LSTM autoencoder. We assign a POS tag to each of the obtained clusters and produce our result by testing the model on the tagged corpus.

4 citations

Book ChapterDOI
01 Jan 2019
Abstract: This chapter aims to elaborate the dynamics of social development and examine how authentic self can become a basis for societal development. Ethics of authenticity and responsibility as shaping individual and collective lives have been the focus of inquiry while analyzing the life stories of Malala Yousafzai and APJ Abdul Kalam.

2 citations

Journal ArticleDOI
Abstract: The University Grants Commission (UGC), New Delhi has announced that it will notify the names of journals to be considered for the calculation of API scores for Appendix-III of its Regulations. Accordingly, the universities concerned shall identify the subject-wise journals through Subject Expert Committees and forward the recommendations to UGC in the prescribed format. The UGC Standing Committee will subsequently scrutinize and notify the list, which will be applicable to all universities. In other words UGC has suo moto assumed the responsibility of certifying the quality of journals.

2 citations


Authors
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20201
20192
20186
20171
20161