International Journal of Natural Language Processing (IJNLP)
Journal Descriptions
The International Journal of Natural Language Processing is an international, peer-reviewed journal that aims to advance research and knowledge in the field of natural language processing. It provides a platform for the publication of original research, methodologies, and applications related to the understanding, generation, and manipulation of human language by computers. The journal welcomes contributions from a diverse range of subfields within natural language processing and promotes interdisciplinary research that enhances communication between humans and machines.
International Journal of Natural Language Processing (IJNLP) is :-
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International, Peer-Reviewed, Open Access, Refereed, Phonology, Morphology, Chunking, Lexical Semantics, Ontology, Statistical and Knowledge based methods, Discourse, POS tagging, Paraphrasing/Entailment/Generation, Text Mining, Information Retrieval, Information Extraction, Dialog Systems, Sentiment Analysis, Deep learning, Large language models, Low-resource NLP, NLP and text mining for social good , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1667-1255, Established: 2024, Impact Factor: 3.00
- Does Not Provide Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE