Classification of MWEs in Hindi using Ontology

Journal: GRENZE International Journal of Computer Theory and Engineering
Authors: Rakhi Joon, Archana Singhal
Volume: 1 Issue: 1
Grenze ID: 01.GIJCTE.1.1.28 Pages: 20-26

Abstract

Multi Word Expressions (MWEs) are very important aspect of Natural Language Processing tasks. In Hindi there are some variations in MWE types as compared to English and other languages. Proposed work provides a brief overview of various MWE in Hindi, their usage and significance. Some of these types are proposed by many authors and some have not received proper attention of researchers. In proposed work some of new categories of multi words are included in the previous classification of Hindi MWE to reveal new concepts related to MWEs. An Ontology is designed based on the proposed classification. Since Ontology itself is a classifier so it becomes easy to understand and use this new classification and their applications in NLP tasks like Question Answering, Information Retrieval, Machine translation, and so on.

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