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ELRLWNLPS 2024 : call for a book chapter for an upcoming book titled Empowering Low-Resource Languages With NLP Solutions
ELRLWNLPS 2024 : call for a book chapter for an upcoming book titled Empowering Low-Resource Languages With NLP Solutions

ELRLWNLPS 2024 : call for a book chapter for an upcoming book titled Empowering Low-Resource Languages With NLP Solutions

N/A
Submission Deadline: August 15, 2023
Notification of Acceptance: December 12, 2023
Camera Ready Version Due: December 26, 2023




Call for Papers



Dear Sir/Ma'am,


I hope you are doing well and in good health. We are excited to announce a call for a book chapter for an upcoming book titled "Empowering Low-Resource Languages With NLP Solutions."

Link: https://www.igi-global.com/publish/call-for-papers/call-details/6596

The objective of this book is to provide an in-depth understanding of Natural Language Processing (NLP) techniques and applications specifically tailored for low-resource languages. We believe that your valuable insights and research in this domain would greatly enrich the content of this book. To ensure a comprehensive and high-quality book, all submitted chapters will undergo a rigorous peer-review process. The accepted book will be indexed in Scopus and Web of Science, thereby enhancing the visibility and impact of your work.

The book aims to cover a wide range of topics related to NLP in low-resource languages. Some of the suggested topics, although not limited to, include:

· Introduction to Low-Resource Languages in NLP

· Language Resource Acquisition for Low-Resource Languages

· Morphological Analysis and Morpho-Syntactic Processing

· Named Entity Recognition and Entity Linking for Low-Resource Languages

· Part-of-Speech Tagging and Syntactic Parsing

· Machine Translation for Low-Resource Languages

· Sentiment Analysis and Opinion Mining for Low-Resource Languages

· Speech and Audio Processing for Low-Resource Languages

· Text Summarization and Information Retrieval for Low-Resource Languages

· Multimodal NLP for Low-Resource Languages

· Code-switching and Language Identification for Low-Resource Languages

· Evaluation and Benchmarking for NLP in Low-Resource Languages

· Applications of NLP in Low-Resource Language Settings

· Future Directions and Challenges in NLP



We encourage you to contribute a book chapter focusing on any of the above-mentioned topics or related areas within the scope of NLP in low-resource languages. The submission guidelines are as follows:

1. Please submit a chapter proposal (maximum 500 words) outlining the objective, methodology, and expected outcomes of your proposed chapter by August 15, 2023, to the submission portal: https://www.igi-global.com/publish/call-for-papers/call-details/6596

2. Chapter proposals should include the title of the chapter, the author(s) name, and their affiliations.

3. All submissions should be original and should not have been previously published or currently under review elsewhere.

4. The chapters should be written in English and adhere to the formatting guidelines provided after the acceptance of the proposal.



Important Dates:

August 15, 2023: Proposal Submission Deadline

August 25, 2023, 2023: Notification of Acceptance

September 17, 2023: Full Chapter Submission

October 31, 2023: Review Results Returned

December 12, 2023: Final Acceptance Notification

December 26, 2023: Final Chapter Submission



Thank you for considering this invitation, and we look forward to receiving your valuable contribution to this book. If you have any further questions or require additional information, please do not hesitate to contact us.



Best regards,



Editorial Team

Dr. Partha Pakray

National Institute of Technology Silchar

Email: [email protected]



Dr. Pankaj Dadure

University of Petroleum and Energy Studies Dehradun

Email: [email protected]


Prof. Sivaji Bandyopadhyay

Jadavpur University, Kolkata

Email: [email protected]




Credits and Sources

[1] ELRLWNLPS 2024 : call for a book chapter for an upcoming book titled Empowering Low-Resource Languages With NLP Solutions


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