Building Odia Shallow Parser

TL;DR

This paper presents the creation of annotated corpora and baseline systems for shallow parsing in Odia, addressing resource scarcity in Indian languages for NLP applications.

Contribution

It introduces POS and chunk annotated corpora for Odia and develops initial baseline systems for POS tagging and chunking tasks.

Findings

Created quality annotated corpora for Odia

Developed baseline POS tagging system

Developed baseline chunking system

Abstract

Shallow parsing is an essential task for many NLP applications like machine translation, summarization, sentiment analysis, aspect identification and many more. Quality annotated corpora is critical for building accurate shallow parsers. Many Indian languages are resource poor with respect to the availability of corpora in general. So, this paper is an attempt towards creating quality corpora for shallow parsers. The contribution of this paper is two folds: creation pos and chunk annotated corpora for Odia and development of baseline systems for pos tagging and chunking in Odia.