Quantum Neural Network Based Machine Translator for Hindi to English

المؤلفون المشاركون

Narayan, Ravi
Singh, V. P.
Chakraverty, Snehashish

المصدر

The Scientific World Journal

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-02-27

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Narayan, Ravi& Singh, V. P.& Chakraverty, Snehashish. 2014. Quantum Neural Network Based Machine Translator for Hindi to English. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049792

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Narayan, Ravi…[et al.]. Quantum Neural Network Based Machine Translator for Hindi to English. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1049792

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Narayan, Ravi& Singh, V. P.& Chakraverty, Snehashish. Quantum Neural Network Based Machine Translator for Hindi to English. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049792

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1049792