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 …

Morphologically rich languages seem to benefit from joint processing of morphology and
syntax, as compared to pipeline architectures. We propose a graph-based model for joint …

Recent advances in pretrained multilingual models such as Multilingual T5 (mT5) have
facilitated cross-lingual transfer by learning shared representations across languages …

Computational morphology deals with the processing of a language at the word level. A
morphological analyzer is a key linguistic word-level tool that returns all the constituent …

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 …

Neural machine translation (NMT) is a fast-evolving MT paradigm and showed good results,
particularly in large training data circumstances, for several language pairs. In this paper, we …