Bidyut Das

Work place: Department of Information Technology, Haldia Institute of Technology, Haldia-721657, India

E-mail: bidyut2002in@gmail.com

Website:

Research Interests: Human-Computer Interaction, Computer systems and computational processes, Computational Learning Theory, Pattern Recognition, Information Retrieval

Biography

Bidyut Das is an Asstistant Professor of the Haldia Institute of Technology, Haldia, India. He was born on 8th February, 1982 in India. He received his B.Sc. and M.Sc. degrees in Computer Science from Vidyasagar University, West Bengal, India, in 2002 and 2004 respectively. He did his M.Tech in Information Technology from School of Information Technology, West Bengal University of Technology, Kolkata, India in 2008. He received Gold Medal in M.Sc and Silver Medal in M.Tech. His research interests include Natural Language Processing, Text Mining, Machine Learning, Pattern Recognition, Information Retrieval and Human Computer Interaction.

Author Articles
A Novel System for Generating Simple Sentences from Complex and Compound Sentences

By Bidyut Das Mukta Majumder Santanu Phadikar

DOI: https://doi.org/10.5815/ijmecs.2018.01.06, Pub. Date: 8 Jan. 2018

In the field of natural language processing, simple sentence has a great importance; especially for multiple choice question generation, automatic text summarization, opinion mining, machine translation and information retrieval etc. Most of these tasks use simple sentences and include a sentence simplification module as pre-processing or post-processing task. But dedicated tasks for sentence simplification are hardly found. Here we have proposed a novel system for generating simple sentences from complex and compound sentences. Our proposed system is an initiative for simplifying sentence by converting complex and compound sentences into simple ones. Along with this the system classifies the simple sentences of an input corpus from other types of sentences. To generate simple sentences from complex and compound sentences we have proposed a novel algorithm which takes the dependency parsing of the input text and produce simple sentences as output. The experimental result demonstrates that the proposed technique is a promising one.

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