Scope 

7^th International Conference on Semantic & Natural Language Processing (SNLP 2026) brings together researchers, practitioners, and innovators to explore the rapidly evolving landscape of language technologies. With the rise of large language models, multimodal systems, and advanced semantic reasoning, NLP is undergoing one of the most transformative periods in its history. SNLP 2026 provides a global forum for presenting cutting edge research, sharing new ideas, and discussing the challenges and opportunities shaping the future of human–machine communication.

As NLP expands into new domains from conversational AI and multilingual understanding to retrieval augmented generation, responsible AI, and cognitive modelling the conference welcomes high quality contributions that push the boundaries of theory, methodology, and real world applications. SNLP 2026 encourages interdisciplinary collaboration and aims to foster meaningful dialogue that advances the science of language and inspires the next generation of breakthroughs in semantic and natural language processing.

• Large Language Models (LLMs) and Foundation Models
• Multimodal NLP (Vision Language, Speech Language, Multisensory Models)
• Prompting, Fine Tuning and Adaptation Methods
• Efficient NLP (Distillation, Quantization, Sparse Models, Low Resource Training)
• Natural Language Understanding and Reasoning
• Natural Language Generation (NLG) and Text Generation
• Dialogue Systems, Conversational AI and Interactive Agents
• Question Answering and Information-Seeking Systems
• Information Extraction, Text Mining and Knowledge Discovery
• Semantic Parsing, Semantic Role Labeling and Meaning Representation
• Textual Entailment, Paraphrasing and Inference
• Machine Translation and Cross Lingual NLP
• Speech Recognition, Speech Synthesis and Spoken Language Understanding
• Discourse Analysis, Pragmatics and Narrative Understanding
• Lexical Semantics, Word Meaning and Sense Disambiguation
• Morphology, Syntax, Parsing and Grammatical Formalisms
• Phonology and Computational Linguistics for Speech
• Cognitive Modeling, Psycholinguistics and Human Language Processing
• Knowledge Graphs, Ontologies and Structured Semantic Representations
• Retrieval Augmented Generation (RAG) and Neural Information Retrieval
• Semantic Search and Neural Ranking Models
• NLP for Low Resource, Endangered and Multilingual Languages
• Domain Specific NLP (Biomedical, Legal, Financial, Scientific, etc.)
• NLP for Social Good, Ethics, Fairness and Responsible AI
• Bias, Toxicity, Safety and Trustworthy NLP
• Evaluation, Benchmarking and Reproducibility in NLP
• Computational Social Science and Social NLP
• Affective Computing, Emotion Recognition and Sentiment Analysis
• Style Transfer, Controlled Generation and Text Manipulation
• Narrative Generation, Creative NLP and Story Understanding
• Multidisciplinary and Cognitive Inspired NLP Approaches
• Statistical, Symbolic and Hybrid NLP Methods
• Low Resource Learning, Few Shot, Zero Shot and Transfer Learning in NLP
• NLP Applications in Industry, Education, Healthcare and Real World Systems

Selected papers from SNLP 2026, after further revisions, will be published in the special issue of the following journals

• International Journal on Natural Language Computing (IJNLC)
• International Journal of Web & Semantic Technology (IJWesT) - IS indexed
• International Journal of Computer Science & Information Technology (IJCSIT) - INSPEC indexed