7th International Conference on Natural Language Processing and Machine Learning (NLPML 2026)

Memo

7th International Conference on Natural Language Processing and Machine Learning (NLPML 2026) May 16 ~ 17, 2026, Zurich, Switzerland https://aiapp2026.org/nlpml/index Scope & Topics The 7th International Conference on Natural Language Processing and Machine Learning (NLPML 2026) brings together researchers, innovators, and industry leaders to explore the latest breakthroughs shaping the future of language and learning technologies. As NLP and ML continue to evolve through advances in large language models, multimodal systems, and data driven AI, NLPML 2026 offers a dynamic platform for sharing cutting edge ideas and impactful research. We invite authors to submit original work, surveys, and real world applications that push the boundaries of NLP and ML. Join us at NLPML 2026 to connect with the global research community and contribute to the next wave of intelligent language technologies. Topics of interest include, but are not limited to, the following: Natural language understanding and generation Large language models and foundation models Pre training, fine tuning, and adaptation of language models Self supervised, weakly supervised, and unsupervised learning for NLP Speech recognition, speech synthesis, and spoken language understanding Dialogue systems, conversational AI, and task oriented agents Question answering, information extraction, and knowledge intensive NLP Machine translation and cross lingual modeling Text summarization, paraphrasing, and text generation Semantic processing, lexical semantics, and semantic role labeling Syntax, parsing, and grammatical formalisms Morphology, phonology, and linguistic theory in NLP Discourse analysis, pragmatics, and narrative understanding Information retrieval, search, and ranking models Text mining, document classification, and topic modeling Knowledge graphs, ontologies, and structured semantic representations Linguistic resources, corpora, and annotation methodologies Statistical, neural, and hybrid methods for NLP Machine learning algorithms for language processing Reinforcement learning for language tasks Learning in knowledge intensive and reasoning heavy systems Natural language reasoning, inference, and entailment Trustworthy NLP: fairness, bias mitigation, interpretability, and safety Robustness, adversarial attacks, and defenses in NLP models Human AI interaction, evaluation, and user centric NLP Low resource, endangered, and multilingual NLP Domain specific NLP (biomedical, legal, financial, educational, etc.) Computational social science and NLP for social impact Cognitive modeling, psycholinguistics, and computational linguistics Multilingual speech and language processing Applied NLP in industry, products, and real world systems Emerging trends and future directions in NLP and ML   Paper Submission Authors are invited to submit papers through the conference Submission System by February 07, 2026 .Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from NLPML 2026, after further revisions, will be published in the special issues of the following journals International Journal of Computer Science & Information Technology (IJCSIT) – INSPEC Indexed International Journal on Natural Language Computing (IJNLC) – ERA Indexed International Journal on Information Theory (IJIT) Machine Learning and Applications: An International Journal (MLAIJ) International Journal on Computational Science & Applications (IJCSA) Advances in Vision Computing: An International Journal (AVC) Information Technology in Industry (ITII) Important Dates : Submission Deadline : February 07, 2026 Authors Notification : March 28, 2026 Registration & Camera-Ready Paper Due : April 04, 2026   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.