7th International Conference on Natural Language Processing & Applications (NLPA 2026)

Program Committee

Accepted Papers

Toronto, Canada

Scope Call for Participation

The 7^th International Conference on Natural Language Processing & Applications (NLPA 2026) will provide an excellent international forum for sharing knowledge, exchanging ideas, and presenting the latest advances in the theory, methodology, and applications of Natural Language Processing (NLP). As language technologies continue to evolve through breakthroughs in large language models, multimodal systems, conversational AI, and knowledge driven applications, NLPA 2026 aims to highlight both foundational research and cutting edge innovations that are shaping the future of human language understanding.

Call for Papers

The conference seeks significant contributions across all major areas of Natural Language Processing, spanning theoretical frameworks, computational models, linguistic analysis, machine learning approaches, and real world applications. NLPA 2026 brings together researchers, practitioners, and industry experts from around the world to foster collaboration, stimulate discussion, and explore emerging trends that are redefining the capabilities of modern language technologies. Contributions describing novel ideas, emerging directions, and transformative applications are especially encouraged. Papers that bridge NLP with other areas of Computer Science, Engineering, and Applied AI are also welcome.

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 Natural Language Processing, Artificial Intelligence, Machine Learning, Speech Technologies, Multimodal Systems, and related applications.

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

Linguistics, Syntax and Semantics

Phonology, Morphology and Lexical Semantics
Syntax, Parsing and Grammatical Formalisms
Semantic Processing, Compositional Semantics and Pragmatics
Discourse Analysis, Coreference and Narrative Understanding
Linguistic Resources, Corpora and Annotation Frameworks
Ontologies, Knowledge Graphs and Semantic Representation

Large Language Models (LLMs) and Foundation Models

Pretraining, Fine Tuning and Instruction Tuning
LLM Reasoning, Planning and Tool Use
Retrieval Augmented Generation (RAG) and Memory Augmented LLMs
Long Context Models, Compression and Efficient Attention
LLM Safety, Alignment, Red Teaming and Hallucination Mitigation
LLM Evaluation, Benchmarking and Robustness
Multilingual, Cross Lingual and Low Resource LLMs

Machine Learning for NLP

Neural, Statistical and Hybrid NLP Methods
Self Supervised and Representation Learning
Continual, Lifelong and Online Learning for NLP
Transfer Learning, Domain Adaptation and Cross Domain NLP
Causal NLP and Causal Representation Learning
Explainable, Trustworthy and Robust NLP
Efficient NLP: Distillation, Quantization and Edge Deployment

Natural Language Generation, Reasoning and Transformation

Text Generation, Summarization and Paraphrasing
Natural Language Inference, Entailment and Logical Reasoning
Chain of Thought, Structured Reasoning and Symbolic Neural Integration
Controlled Generation, Style Transfer and Text Simplification
Data to Text, Knowledge to Text and Structured Generation
Narrative Generation, Storytelling and Creative NLP

Information Access, Retrieval and Knowledge Extraction

Neural Information Retrieval (IR) and Dense Retrieval
Hybrid Symbolic Neural Retrieval and Knowledge Augmented Models
Information Extraction (IE), Event Extraction and Relation Extraction
Text Mining, Topic Modeling and Document Understanding
Question Answering (QA) and Reading Comprehension
Fact Checking, Claim Verification and Misinformation Detection
Document AI, OCR Free Models and Layout Aware Transformers

Machine Translation and Multilingual NLP

Neural Machine Translation (NMT)
Cross Lingual Transfer and Multilingual Modeling
Low Resource and Zero Shot Translation
Speech to Text and Speech to Speech Translation
Multimodal Translation Dialogue, Conversational AI and Language Agents
Dialogue Systems and Conversational Agents
Task Oriented Dialogue and Interactive Assistants
Open Domain Chatbots and Safety in Dialogue
Autonomous Language Agents and Multi Agent Communication
Language Driven Tool Use and Planning Agents
Emotion, Sentiment, Social NLP and Affective Dialogue

Speech, Audio and Spoken Language Technologies

Speech Recognition (ASR) and Speech Synthesis (TTS)
Spoken Language Understanding (SLU)
Prosody, Speaker Identification and Emotion in Speech
Speech Language Multimodal Models
End to End Speech to Speech Modeling
Audio Language Grounding and Multimodal Speech Reasoning

Multimodal NLP and Vision Language Models

Vision Language Models (VLMs) and Multimodal Transformers
Text Image, Text Video and Text Audio Understanding
Multimodal Reasoning and Cross Modal Alignment
Document AI, Layout Understanding and Multimodal OCR
Multimodal Generation (Image/Video/Audio from Text)
Embodied Language Models and Vision Language Action Systems

Applied NLP and Domain Specific Language Technologies

Biomedical NLP, Clinical Text Mining and Healthcare AI
Legal NLP, Financial NLP and Scientific NLP
NLP for Education, Assessment and Learning Analytics
NLP for Social Media, Online Safety and Moderation
NLP for E commerce, Personalization and Recommendation
NLP for Scientific Discovery, Research Automation and Literature Mining

NLP Infrastructure, Evaluation and Ethics

NLP Datasets, Benchmarks and Evaluation Science
Human in the Loop Evaluation and Cognitive Testing
Data Quality, Bias Detection and Fairness in NLP
Privacy Preserving NLP and Federated Language Models
Efficient Training, Inference and Deployment
Responsible NLP, Ethics, Governance and Societal Impact

Paper Submission

Authors are invited to submit papers through the conference Submission System by July 18, 2026(Final Call) . 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 NLPA 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Second Batch : Submissions after May 11, 2026

Submission Deadline

July 18, 2026(Final Call)

Authors Notification

July 23, 2026

Registration & camera - Ready Paper Due

July 24, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to NLPA 2026