Computational Linguistics Processing in Indigenous Language (CLPIL)

  in Special Issue   Posted on January 13, 2021

Information for the Special Issue

Submission Deadline: Sun 30 Jan 2022
Journal Impact Factor : 3.255
Journal Name : Pattern Recognition Letters
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/computational-linguistics-processing-in-indigenous-language
Journal & Submission Website: https://www.journals.elsevier.com/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:

  • Automated Language Translation and Grammar Correction
  • Computational language Processing
  • Distributional models and semantics
  • Evolutionary language modeling for pattern recognition
  • Indigenous language problems
  • Lexical Knowledge Representation and pattern recognition
  • Multilingual and cross-lingual distributional representations and universal language models
  • Multimodal NLP, text-image and image-text processing
  • Multimodal NLP: Audio, Image, Video
  • Natural Language Toolkit for Virtual Libraries
  • NLP for Remote Access E-Resources
  • Opinion Mining and pattern recognition on social media
  • Ontology based language pattern recognition
  • Pattern Recognition using AI/ML
  • Pattern recognition for virtual, augmented and mixed reality languages
  • Privacy and security on language libraries
  • Sentiments Pattern Analysis through NLP for Document Management
  • Syntactic, semantic, and context parsing and analysis
  • Speech synthesis and Pattern recognition

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: paramesh@gsss.edu.in

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: liyanage.silva@ubd.edu.bn  

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