Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Computational Linguistics Processing in Indigenous Language (CLPIL)

Computational Linguistics Processing in Indigenous Language (CLPIL)

Journal
Impact Score 6.76

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 30-01-2022
Journal Impact Score: 6.76
Journal Name: Pattern Recognition Letters
Publisher: Pattern Recognition Letters

Special Issue Call for Papers


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]  

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