Abstract
Machine translation is a computational method for automating user queries or information posed over search engine or social media in local Dravidian language such as Telugu. Computer based translation has become global due to majority of the domains are likely to use local languages for universal resources accessing. Machine translation is an application of the major area for transforming one language to another target universal language. In this era analyzing Telugu language at syntax granularity level is essential to tackle through grammar. This article emphasizes on classification of approaches for machine translation syntactical grammar for Telugu Dravidian language. The authors also significantly presented investigations noticeable research issues in this article towards Telugu language for machine translations.
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References
Battacharya P (2015) Machine Translation, vol 29, no 3–4. CRC Press
Naik MV, Vasumathi D, Siva Kumar AP (2018) An enhanced unsupervised learning approach for sentiment analysis using extraction of tri-co-occurrence words phrases. In: Second international conference on computational intelligence and informatics, vol 712, pp 17–26. Springer
Dwivedi SK, Sukhadeve PP (2010) Machine translation system I Indian perceptive. J Comput Sci 6(10):1082–1087
Reddy MV, Hanumanthappa M (2013) NLP challenges for machine translation from english to indian languages. Int J Comput Sci Inform 3(1):2231–5292
Naik MV, Mohanty R (2014) An expert system approach for legal reasoning in acquiring immovable property. In: IEEE conference ICNSC, pp 370–374
Bharti A, Chatanya V, Sangal R (1995) Natural language processing: a paninian perspective. Prentice Hall, New Delhi
Antony P, Soman KP (2012) Computational morphology and natural language parsing for indian languages: a literature survey. Int J Sci Eng Technol 3(4):136–146
Francisca J, Mia MM (2011) Adapting rule based machine translation from English to Bangla. IJCSE 2(3):334–342
Naik MV, Anasari MD, Gunjan VK, Kumar S (2020) A comprehensive study of sentiment analysis in big data applications. Advances in cybernetics, cognition, and machine learning for communication technologies. Springer, Singapore, pp 333–351
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Naik, M.V., Ansari, M.D., Gunjan, V.K., Surya Narayana, G. (2021). An Approach for Morphological Analyzer Rules for Dravidian Telugu Language. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_126
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DOI: https://doi.org/10.1007/978-981-15-7961-5_126
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