International Journal on Natural Language Computing (IJNLC)

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International Journal on Natural Language Computing (IJNLC)   ISSN: 2278 - 1307 [Online]; 2319 - 4111 [Print]   https://airccse.org/journal/ijnlc/index.html   **Citations 2232, h-index 24, i10-index 48**   Scope & Topics   Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.   Topics of interest include but are not limited to, the following   Phonology, Morphology Chunking/Shallow Parsing Parsing/Grammatical Formalisms Semantic Processing Lexical Semantics Ontology Linguistic Resources Statistical and Knowledge based methods POS tagging Discourse Paraphrasing/Entailment/Generation Machine Translation Information Retrieval Text Mining Information Extraction Question Answering Dialog Systems Sentiment Analysis Spoken Language Processing Speech Recognition and Synthesis   Paper Submission   Authors are invited to submit papers for this journal through Email: This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it. or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For paper format download the template in this page     Important Dates   Submission Deadline : March 29, 2025 Notification : April 15, 2025 Final Manuscript Due : April 22, 2025 Publication Date : Determined by the Editor-in-Chief   Contact us:   Here's where you can reach us: This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.   Submission URL: https://airccse.com/submissioncs/home.html