Mukta Majumder

Work place: Department of Computer Science and Application, University of North Bengal, Siliguri-734013, India



Research Interests: Computational Learning Theory, Natural Language Processing, Database Management System


Mukta Majumder is an Assistant Professor in the department of Computer Science and Application, University of North Bengal, Siliguri, West Bengal, India. He has submitted his Ph.D thesis in the Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Ranchi, India. He has completed his post graduation from National Institute of Technical Teachers Training and Research’s, Kolkata, India and graduation from Jalpaiguri Government Engineering College, Jalpaiguri, India. He has served Vidyasagar University as an Assistant Professor of Computer Centre from 22nd December 2014 to 17th October 2017. After that he is serving this University. His research interests include Natural Language Processing, Machine Learning, ICT Based Teaching-Learning, Microfluidic System, and Biochip.

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

By Bidyut Das Mukta Majumder Santanu Phadikar

DOI:, 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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