5th International Conference on NLP and Machine Learning Trends (NLMLT 2026)

August 15 ~ 16, 2026, Melbourne, Australia

 
Scope & Topics
 
5th International Conference on NLP and Machine Learning Trends (NLMLT 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of NLP and Machine Learning.
 
Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of NLP and Machine Learning Trends.
 
Topics of interest include, but are not limited to, the following
 
·       Bayesian Network
·       Computer Vision
·       Data Mining
·       Deep Learning
·       Learning in knowledge-intensive systems
·       Learning Methods and analysis
·       Learning Problems
·       Machine Learning Applications
·       Machine Learning models and applications
·       Machine Learning Recommender systems
·       Machine Translation
·       ML for NLP
·       Neural Networks / Deep Learning
·       NLP, Machine learning Trends
·       Ubiquitous Machine Learning
 
Paper Submission
 
Authors are invited to submit papers through the conference Submission System by April 18, 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 NLMLT 2026, after further revisions, will be published in the special issues of the following journals.
 
 
Important Dates
 
·       Submission Deadline: April 18, 2026
·       Authors Notification: May 23, 2026
·       Registration & Camera-Ready Paper Due: June 25, 2026
 
Contact Us
 
Here's where you can reach us: nlmlt@nlmlt2026.org (or) nlmltconferen@gmail.com
 
For more details, please visit: https://nlmlt2026.org/