title: Quantum neural network based machine translator for Hindi to English.
abstract: 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.
authors: Department of Computer Science & Engineering, Thapar University, Patiala, Punjab 147 004, India.
authors: Ravi
authors: 0000-0003-1838-4869
authors: R
authors: Narayan
authors: Department of Computer Science & Engineering, Thapar University, Patiala, Punjab 147 004, India.
authors: V P
authors: VP
authors: Singh
authors: Department of Mathematics, National Institute of Technology Rourkela, Odisha 769 008, India.
authors: S
authors: S
authors: Chakraverty
mesh_terms: D000465:Algorithms; D004739:England; D007194:India; D009323:Natural Language Processing; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D011789:Quantum Theory; D012660:Semantics; D014175:Translating; D014481:United States; D018875:Vocabulary, Controlled