Description of the Issue Scope and Motivation
Natural language processing (NLP) involves building models of the language environment and inferring the consequences of inter-language processing. In the Machine Learning (ML) research, this technology has traditionally been facilitated by a technique called state-of-the-art machine translation, in which a translation model is developed and using this the meaning of each word from the original language is extracted. This type of model can be extended to several different languages, and for this reason, it can be useful for words those are identical in meaning or form are found to have a common meaning in each language. Textual participation helps to facilitate natural language interpretation, to allow computer applications, and to characterize how the text is interpreted by natural language devices. Automated algorithms for lexical task participation may be extended to different applications in the processing of natural languages. In particular, automated parsing tools have a crucial role to play in developing a computational approach to natural language processing for general purposes. The aim of the virtual special issue is to investigate the computational complexity of indigenous languages and to provide a solution for a problem from an obvious point of view: How do we solve a classification problem? Natural language processing is the application of artificial intelligence to the English language. Additionally, this issue will give an introduction to the mathematical machinery behind the classification problem of indigenous language. The purpose of this issue is to summarize the research techniques related to the future trends in Artificial Intelligence (AI), computational engineering, information science, Natural Language Processing. This issue tends to present several interesting open problems with future research directions for data engineering, computational engineering, data science, Multilingual models, Social Media mining and big data.
Topics of Interest
Potential topics include, but are not limited to the following:
Important dates
Submission Period: 1-20 November 2021
1st Round Review: 15 December 2021
Revised Submission: 30 January 2022
2nd Round Review (if required): 12 February 2022
Final submission: 28 February 2022
Final decision: 5 March 2022
List of Guest Editors
Managing Guest Editor:
Dr. Parameshachari B.D. (Lead Guest Editor)
Professor & Head, TCE Department
GSSS Institute of Engineering & Technology for Women, Mysuru, Karnataka, India
http://www.geethashishu.in/paramesh
Email: [email protected]
Guest Editor 1:
Dr. Tomasz RAK
Assistant Professor
Rzeszow University of Technology, Rzeszow, Poland
https://trak.kia.prz.edu.pl
Guest Editor 2:
Dr. Liyanage Chandratilak De Silva
Professor, Universiti Brunei, Darussalam, Brunei
https://expert.ubd.edu.bn/liyanage.silva
Email: [email protected]