Category Research
Research Avenues in Vedic Sciences
The charter of the Maharshi Vedavyas MIT School of Vedic Sciences, Pune is to equip the younger generation with authentic scientific knowledge from India’s Vedic tradition alongside modern knowledge for holistic welfare of society. Due to the lack of ready availability of Vedic knowledge in an intelligible form today, there is a dire need for innovative education and research in Vedic Sciences to prepare the necessary conditions. Avenues for Research in Vedic Sciences We believe that innovation and research in India’s homegrown knowledge systems or Shaastras can be broadly categorized as follows: Fundamental Shaastric research – Continuation of shaastric inquiry…
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…
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,…
