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The Scientific World Journal
Volume 2014, Article ID 485737, 8 pages
Research Article

Quantum Neural Network Based Machine Translator for Hindi to English

1Department of Computer Science & Engineering, Thapar University, Patiala, Punjab 147 004, India
2Department of Mathematics, National Institute of Technology Rourkela, Odisha 769 008, India

Received 31 August 2013; Accepted 8 January 2014; Published 27 February 2014

Academic Editors: P. Bala and J. Silc

Copyright © 2014 Ravi Narayan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze the effectiveness of the proposed approach, 2600 sentences have been evaluated during simulation and evaluation. The accuracy achieved on BLEU score is 0.7502, on NIST score is 6.5773, on ROUGE-L score is 0.9233, and on METEOR score is 0.5456, which is significantly higher in comparison with Google Translation and Bing Translation for Hindi to English Machine Translation.