This paper describes the first data-driven parser for Vedic Sanskrit, an ancient Indo-Aryan
language in which a corpus of important religious and philosophical texts has been …

Recently, the supervised learning paradigm's surprisingly remarkable performance has
garnered considerable attention from Sanskrit Computational Linguists. As a result, the …

We present a neural Sanskrit Natural Language Processing (NLP) toolkit named
SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several …

We address the challenges and opportunities in the development of knowledge systems for
Sanskrit, with a focus on question answering. By proposing a framework for the automated …

The primary focus of this thesis is to make Sanskrit manuscripts more accessible to the end-
users through natural language technologies. The morphological richness, compounding …

Effective traffic light timing, particularly optimal light cycle programs, is critical in today's
cities. Considering possible savings in energy use and traffic, pedestrian safety, traffic flow …

Dependency parsing is concerned with obtaining its grammatical structure and establishing
the relations between the words in the sentence, namely the headwords and the words that …