International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Removing Language Barrier: A Survey of Machine Transliteration

Abstract

Nepal is a country with Provinces having varieties of Nepalese spoken languages. The official language is however Nepali, spoken and understand by majority percent people of Nepal. The majority of People don’t understand English although English is an universal language. Machine Translation system translating the text from one language script to another language script to enhance the knowledgeable society of Nepalese without any language barrier. Machine Translation is the difficult and challenging task of Natural language Processing. Nepali is the language used by majority of Nepalese and English being the universal language, the necessity of English to Nepali machine translation is significant. This paper is the survey paper that describes the different approaches in the field of Computational Linguistic for Machine translation and their challenges.

Country : Nepal

1 Er. Hari K.C2 Er. Sharan Thapa

  1. Department of Electronics and Computer Engineering, Tribhuvan University, Institute of Engineering, Paschimanchal Campus, Nepal
  2. Department of Electronics and Computer Engineering, Tribhuvan University, Institute of Engineering, Paschimanchal Campus, Nepal

IRJIET, Volume 2, Issue 6, August 2018 pp. 20-23

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References

  1. X. Zhang, S. Tao, Z. Gong, B. Wu, R. Wang, B. M. Wilamowski, “An improved  English to Chinese translation of technical text” in 2015 IEEE 19th International Conference on Intelligent Engineering System (INES), 2015.
  2. M. M. Mahasuli, R. Safabakhsh, “ English to Persian transliteration using attention based approach in deep learning”  in 2017 Inranian Conference on Electrical Engineering (ICEE), 2017.
  3. D.V. Sindhu, B.M. Sagar, “ Study of Machine Translation approaches for Indian Languages and their languages” in 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques  (ICEECCOT), 2016.
  4. http://machinelearningmastery.com/encoder-decoder-recurrent-neural-network-models-neural-machine-translation.
  5. W. Xiong, Y. Jin, “ A new Chinese – English machine translation method based on rule for claims sentence of Chinese Patent” in 2011 7th International Conference on Natural Language Processing and Knowledge Engineering, pp 378-381, 2011.
  6. O. Dhariya, S. Malviya, U. S. Tiwary, “ A hybrid approach for Hindi- English  machine translation”, in 2017 International Conference on Information Networking (ICOIN), 2017.
  7. H.S. Sreedeepa, S.M. Indicula, “Interlingua based Sanskrit- English machine  translation”, in 2017 International Conference on Circuit, Power and Computing Technologies( ICCPCT), pp 1-5, 2017. 

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