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Indic Leadership Conference – June 2018

Indic Leadership Conference (ILC) was successfully conducted at MIT SVS on 29th June 2018, under the guidance of Prof. Dr. Vishwanath D. Karad and Dr Vijay Bhatkar. Participants gained insights into the highly practical Indic wisdom pertaining to leadership and…

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The Hindu: B.Sc. and M.Sc. programs

News on B.Sc. Psychology and M.Sc. Vedic Sciences was covered in the Education section of Hindu in print and online editions. http://www.thehindu.com/todays-paper/tp-features/tp-educationplus/harnessing-indic-perspective/article23410794.ece
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PAIAS: Paper on interpreting Samskrit grammar text – World Samskrit Conference 2018

MIT School of Vedic Sciences’ paper entitled “PAIAS: Paanini Ashtadhyayi Interpreter As a Service” has been accepted for publication in the upcoming World Sanskrit Conference in Vancouver, B.C Canada in July 2018. Authors: Sarada Susarla, Tilak Rao and Sai Susarla. Below is the abstract of the paper. Abstract It is widely believed that Pāṇini’s Aṣṭādhyāyī is the most accurate grammar and word-generation scheme for a natural language there is. Several researchers attempted to validate this hypothesis by analyzing Aṣṭādhyāyī’s sūtra system from a computational / algorithmic angle. Many have attempted to emulate Aṣṭādhyāyī’s word generation scheme. However, prior work has succeeded in…
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Architectural Considerations for Scalable Indic Document Analytics

Abstract Indic heritage knowledge is embedded in millions of manuscripts at various stages of digitization and analysis. Though numerous powerful tools have been developed for linguistic analysis of Samskrit texts, employing them together on large document collections and building end-user applications is a challenge due to non-standard interfaces. This paper examines the architectural needs of scalable Indic document analytics, and presents our experience in building an actual system. Though it is a work in progress, we demonstrate how careful metadata design enabled us to rapidly develop useful applications via extensive reuse of state-of-the-art analysis tools. This paper offers an approach to standardization of linguistic analysis output,…
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