Open Access
E3S Web Conf.
Volume 170, 2020
6th International Conference on Energy and City of the Future (EVF’2019)
Article Number 02006
Number of page(s) 5
Section Factories of Future
Published online 28 May 2020
  1. MHRD, Indian Linguistic. (1995). [Google Scholar]
  2. N. Chomsky, Syntactic Structures. PARIS: MOUTON PUBLISHERS, (1957). [CrossRef] [Google Scholar]
  3. D. Williams and P. Escudero, “Detecting phonetic variation versus phonemic differences,” pp. 265–269. [Google Scholar]
  4. A. Reshamwala, D. Mishra, and P. Pawar, “Review on natural language processing,” no. February, (2013). [Google Scholar]
  5. G. Bouma, I. Fahmi, J. Mur, and G. Van Noord, “Linguistic knowledge and question answering,” vol. 46, pp. 15–40, (2005). [Google Scholar]
  6. R. Weiscbedel, J. Carbonell, W. Lehnert, M. Marcus, and R. Perrault, “White Paper on Natural Language Processing,” pp. 481–493. [Google Scholar]
  7. M. T. Makwana and D. C. Vegda, “Survey: Natural Language Parsing For Indian Languages,” (2015). [Google Scholar]
  8. C. J. Baby, F. A. Khan, and J. N. Swathi, “Home automation using IoT and a chatbot using natural language processing,” 2017 Innov. Power Adv. Comput. Technol. i-PACT 2017, vol. 2017-January, pp. 1–6, (2018). [Google Scholar]
  9. K. M. Alhawiti, “Natural Language Processing and its Use in Education,” vol. 5, no. 12, pp. 72–76, (2014). [Google Scholar]
  10. F. Cardoso, A. Cristina, and B. Garcia, “Can Machines Learn to Detect Fake News ? A Survey Focused on Social Media,” vol. 6, pp. 2763–2770, (2019). [Google Scholar]
  11. T. Ly et al., “Evaluation of Natural Language Processing ( NLP ) systems to annotate drug product labeling with MedDRA terminology,” J. Biomed. Inform., vol. 83, no. April, pp. 73–86, (2018). [CrossRef] [PubMed] [Google Scholar]
  12. D. Khurana, A. Koli, K. Khatter, and S. Singh, “Natural Language Processing: State of The Art, Current Trends and Challenges,” no. August (2017). [Google Scholar]

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