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

Website https://nlp2026.org/index | Edit Freely

Category Trends & Technologies;

Deadline: January 24, 2026 | Date: April 18, 2026-April 19, 2026

Venue/Country: Melbourne, Australia, Australia

Updated: 2026-01-19 15:25:46 (GMT+9)

Call For Papers - CFP

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

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 January 24, 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

International Journal on Computational Science & Applications (IJCSA)

International Journal on Information Theory (IJIT)

International Journal on Natural Language Computing (IJNLC)

International Journal of Web & Semantic Technology (IJWesT)

Information Technology in Industry (ITII)

Important Dates

Submission Deadline : January 24, 2026

Authors Notification : March 14, 2026

Registration & Camera-Ready Paper Due : March 21, 2026

Contact Us

Here’s where you can reach us : nllpttnlp2026.org or nlptt2025yahoo.com