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

Name: 7th International Conference on NLP Trends & Technologies (NLPTT 2026)
Start: 2026-04-18T09:00:00+10:00
End: 2026-04-18T10:00:00+10:00
Location: Melbourne, Australia

Schedule

Sat Apr 18 2026 at 09:00 am to 10:00 am

UTC+10:00

Location

Melbourne, Australia | Melbourne, VI

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

April 18 ~ 19, Melbourne, Australia

https://nlp2026.org/index

Scope & Topics

7th 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

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

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

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

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 March 21, 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 NLPTT 2026, after further revisions, will be published in the special issue of the following journals