Open AccessDevelopment of Reading Comprehension System for Kannada Text Documents
Author(s) -
Abhishek Narayanan,
Jagadish S. Kallimani
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f1008.0486s419
Subject(s) - kannada , computer science , natural language processing , artificial intelligence , parsing , context (archaeology) , reading (process) , natural language , reading comprehension , comprehension , information retrieval , linguistics , programming language , paleontology , philosophy , biology
Reading Comprehension (RC) plays an important role in Natural Language Processing (NLP) as it reads and understands text written in Natural Language. Reading Comprehension systems comprehend the given document and answer questions in the context of the given document. This paper proposes a Reading Comprehension System for Kannada documents. The RC system analyses text in the Kannada script and allows users to pose questions to It in Kannada. This system is aimed at masses whose primary language is Kannada - who would otherwise have difficulties in parsing through vast Kannada documents for the information they require. This paper discusses the proposed model built using Term Frequency - Inverse Document Frequency (TF-IDF) and its performance in extracting the answers from the context document. The proposed model captures the grammatical structure of Kannada to provide the most accurate answers to the user