In this study, we present an analysis regarding the performance of the state-of-art Phrase-
based Statistical Machine Translation (SMT) on multiple Indian languages. We report …

Sanskrit, one of the oldest of human languages, has an algorithmic, calculus like grammar
which resembles a computer program. In this paper, we propose a model for machine …

Machine translation is one of the most important applications of Natural Language
Processing. Machine Translation is one of the most important branches of Artificial …

The paper describes a Sanskrit morphological analyzer that identifies and analyzes inflected
noun-forms and verb-forms in any given sandhi-free text. The system which has been …

This thesis has been divided into six chapters namely: Introduction, Karaka Model and it
impacts on Dependency Parsing, LT Resources for Bhojpuri, English-Bhojpuri SMT System …

Translation of natural language has always attracted attention of scholars world-wide, be it
manual or machine based. Since, the last six decades machine translation has been …

The paper presents a model for Sanskrit verb inflection identification which will correctly
describe verbs in a laukika Sanskrit text. Verbs play an important role in syntactico-semantic …

Hindi is the third most-spoken language in the world (615 million speakers) and has the
fourth highest native speakers (341 million). It is an inflectionally rich and relatively free word …

Natural language processing (NLP) is a field of computer science, artificial intelligence, and
linguistics, concerned with the interactions between computers and human (natural) …

Pāṇini's grammar is widely known for its formal treatment of the Sanskrit language. Many
scholars Jha 2004 have earlier taken a systemic view of Pāṇini and have argued that …