A Research on Discourse Access
Animesh R. Tayal1, S. R. Tandan2, M. A. Tayal3
1Animesh R. Tayal, Research Scholar, Department of Computer Science & Engineering, Dr. C.V. Raman University, Bilaspur (Chhattisgarh), India.
2S. R. Tandan, Associate Professor, Department of Computer Science & Engineering, Dr. C.V. Raman University, Bilaspur (Chhattisgarh), India.
3M. A. Tayal, Assistant Professor, Department of Information Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur (Maharashtra), India.
Manuscript received on 12 October 2019 | Revised Manuscript received on 21 October 2019 | Manuscript Published on 02 November 2019 | PP: 827-830 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11350982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1135.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We are living in the era of intelligent machines where everything is replacing by machine, interpretation of hidden meaning of text/speech becomes necessary to understands by machine. The last few years have seen an emergence of new perspectives in understanding the meaning of the given text. Researchers are working hard for this kind of complex problem. Discourse comes under this theme of understanding hidden information from the text. Syntactical and semantic analysis plays important role in discourse analysis. This paper focuses on the work done by various researchers in understanding discourse using various methods of machine learning and deep learning techniques.
Keywords: Discourse, Discourse Analysis.
Scope of the Article: Broadband Access Technologies