This paper presents our work to apply non linear neural network for parsing five r esource p oor I ndian L anguages belonging to two major language families Indo-Aryan and Dravidian. Bengali and Marathi are Indo-Aryan languages whereas Kannada, Telugu and Malayalam belong to the Dravidian family. While little work has been done previously on Bengali and Telugu linear transition-based parsing, w...

The main feature of Indian society, seen at its strongest in the rural areas, is caste. A caste is a collection of people who share similar cultural and religious values and practices. Members within a caste generally marry among themselves; intercaste marriages are a cultural taboo. These social regulations governing the institution of marriage have resulted in a substructuring of the Indian g...

In this paper, we present a comparative study of the four state-of-the-art sequential taggers applied on Magahi data for part-of-speech (POS) annotation . Magahi is one of the smaller Indo-Aryan languages spoken in Eastern state of Bihar in India. It is an extremely resource-poor language and it is the first attempt to develop some kind of Natural Language Processing (NLP) resource for the lang...