7th International Conference on NLP Trends & Technologies (NLPTT 2026)

7th International Conference on NLP Trends & Technologies (NLPTT 2026)

April 18 ~ 19, Melbourne, Australia

https://nlp2026.org/index

Scope & Topics

7rd International Conference on NLP Trends & Technologies (NLPTT 2026) arrives at a pivotal moment in the evolution of language technologies. Over the past few years, natural language processing has transformed from a specialized research area into a foundational pillar of modern AI. Large language models, multimodal reasoning systems, and knowledge grounded generation are redefining how humans interact with information, machines, and each other. At the same time, the field is grappling with new challenges: ensuring safety and trust, supporting global linguistic diversity, and building systems that reason, converse, and understand with greater depth.

NLPTT 2026 brings together researchers, practitioners, and innovators to explore these frontiers. The conference embraces the full spectrum of NLP research from linguistic theory and computational modeling to large scale neural architectures, multimodal systems, and real world applications across science, society, and industry.

Whether you are developing next generation LLMs, building multilingual resources, designing conversational agents, or studying the societal impact of language technologies, NLPTT 2026 offers a space to share breakthroughs, spark collaborations, and shape the future of the field.

Topics of interest include, but are not limited to, the following:

• Track 1: Core NLP & Linguistic Foundations
• Computational Linguistics and Linguistic Theory
• Morphology, Syntax, Semantics, and Pragmatics
• Discourse Analysis and Narrative Understanding
• Lexical Semantics and Word Sense Modeling
• Parsing, Grammatical Formalisms, and Structured Prediction
• Linguistic Resources, Corpora, and Annotation Methodologies
• Phonology, Prosody, and Speech Language Interfaces
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• Track 2: Large Language Models, Deep Learning & Advanced NLP
• Large Language Models (LLMs), Instruction Tuning, and Alignment
• Multilingual, Cross Lingual, and Low Resource NLP
• Efficient NLP (compression, distillation, quantization, sparse models)
• Retrieval Augmented Generation (RAG) and Knowledge Grounded NLP
• Reasoning Enhanced NLP (symbolic neural hybrids, chain of thought)
• Continual, Lifelong, and Transfer Learning
• Hallucination Detection, Reliability, and Model Evaluation
• Data Centric NLP and Automated Dataset Construction
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• Track 3: Speech, Multimodal & Conversational AI
• Spoken Language Processing and Speech Recognition
• Speech Language Models and Audio Text Integration
• Multimodal NLP (vision language, audio language, sensor language fusion)
• Embodied and Situated Language Understanding
• Dialogue Systems, Conversational Agents, and Chatbots
• Task Oriented Dialogue, Open Domain Dialogue, and Safety in Conversation Models
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• Track 4: Knowledge, Reasoning & Information Systems
• Information Extraction, Event Extraction, Relation Extraction
• Information Retrieval, Neural IR, and IR NLP Integration
• Knowledge Graphs, Ontologies, and Semantic Web Technologies
• Text Mining, Document Understanding, and Summarization
• Paraphrasing, Text Generation, and Natural Language Inference
• Question Answering, Reading Comprehension, and Retrieval QA
• Probabilistic and Statistical Methods for NLP
• 
  
• Track 5: Applied NLP & Domain Specific Language Technologies
• Biomedical NLP, Clinical Text Mining, and Healthcare Applications
• Legal, Financial, and Policy Driven NLP
• Social Media Analytics, Sentiment Analysis, and Online BehaviorModeling
• NLP for Education, Learning Analytics, and Intelligent Tutoring
• NLP for Scientific Literature and Scholarly Knowledge
• NLP for Low Resource, Indigenous, and Endangered Languages
• Computational Social Science and Societal Impact Studies
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• Track 6: Responsible, Ethical & Trustworthy NLP
• Bias, Fairness, and Inclusivity in NLP
• Explainability, Interpretability, and Transparency
• Privacy Preserving NLP (federated NLP, differential privacy)
• Safety, Alignment, and Responsible Deployment of Language Models
• Misinformation Detection, Content Moderation, and Trustworthy Generation
• 
  
• Track 7: Emerging Topics & Interdisciplinary NLP
• Cognitive NLP and Psycholinguistically Informed Models
• Neuro Symbolic NLP and Logic Driven Language Models
• NLP for Robotics, Autonomous Systems, and Human Robot Interaction
• NLP for Programming Languages, Code Generation, and Software Engineering
• Agentic LLMs, Tool Using Models, and Autonomous Language Agents
• Evaluation Science, Benchmarking, and Reproducibility in NLP

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).

Important Dates

• Submission Deadline : February 07, 2026
• Authors Notification : March 14, 2026
• Registration & Camera-Ready Paper Due : March 21, 2026

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