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Publish a Book Chapter in "Current Research in Natural Language Processing and Large Language Models (LLMs) (Volume - 1)"

Call for Book Chapters: Submissions Now Open

Current Research in Natural Language Processing Edited Book | Edited Book on Current Research in Large Language Models (LLMs)


This edited book on artificial intelligence titled "Current Research in Natural Language Processing and Large Language Models (LLMs)" mainly focuses on various topics such as research in natural language processing, research in large language models and text generation etc., and the rest are given below in the Scope of the book. This Research in Natural Language Processing edited book will be published with ISBN number after following a proper double blind peer reviewed process. All the chapters of this Current Research in Natural Language Processing and Large Language Models (LLMs) edited book will be published in a very illustrative manner for easy reader understanding.

Author can download Current Research in Natural Language Processing and Large Language Models (LLMs) edited books authorship responsibility and copyright form: Click Here


Indexed In
Indexed in Crossref Indexed in Dimensions Indexed in Bowker
Book Scope

  • Text Classification
  • Sentiment Analysis
  • Machine Translation
  • Named Entity Recognition
  • Text Generation
  • Language Models
  • Pretrained Models
  • Transfer Learning
  • NLP Healthcare
  • Question Answering
  • Dialogue Systems
  • Multilingual NLP
  • Speech Recognition
  • Language Understanding
  • Text Summarization
  • Chatbots
  • Information Retrieval
  • Computational Linguistics
  • Text to Speech
  • Semantic Parsing
  • Text Representation
  • Data Augmentation
  • Fine-Tuning LLMs
  • Zero-shot Learning
  • Transferability in NLP
  • Neural Machine Translation
  • Few-shot Learning
  • Knowledge Graphs
  • Sentiment Detection
  • Cross-lingual Models
  • Language Generation Models
  • AI Ethics in NLP
  • Text Preprocessing
  • Large-Scale Datasets
  • Attention Mechanisms
  • Transformers in NLP
  • Multimodal NLP
  • LLM Interpretability
  • Ethical AI in NLP
  • Knowledge Transfer
  • Deep Learning for NLP
  • Language Modeling
  • Text Mining
  • Speech-to-Text
  • NLP for Business
  • Text Embeddings
  • Tokenization
  • LLM Evaluation
  • AI-driven Text Analytics
  • NLP Applications


Author Guidelines

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Submit Chapter

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OR

Send your chapter on helmandbooks@gmail.com



Deadline

31 Jan 2026

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