10th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2026)

The 10th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2026) explores advancements in natural language processing, information retrieval, and AI-driven language technologies for multilingual and multimodal applications.

Key Topics

• Foundations of Language Processing
  • Data/Text Mining, Corpus Linguistics, Psycholinguistic Modeling
  • Basic NLP Pipelines: Tokenization, POS Tagging, Lemmatization, Dependency Parsing, Semantic Role Labeling
  • Low-Resource Language Engineering and Cross-Lingual Adaptation
• Linguistic Analysis & Understanding
  • Syntax, Semantics, Discourse Analysis, Pragmatics
  • Multimodal Speech Recognition/Synthesis (ASR/TTS) and Conversational AI
  • Diachronic Corpora, Temporal Reasoning, Evolving Language Models
• Knowledge Systems & Semantics
  • Automated Knowledge Acquisition, Ontology Generation/Alignment, Semantic Web
  • Neuro-Symbolic Integration Combining Logic-Based Reasoning With Neural Networks
• Content Analysis & Information Retrieval
  • Topic Modeling, Event/Anomaly Detection, Sentiment/Emotion Analysis
  • Document Summarization, Plagiarism Detection, Authorship Attribution
  • Dynamic/Personalized IR, Adversarial Retrieval, Cross-Language Systems
• Social & Multimedia Analysis
  • Personality/Emotion Detection in Social Media, Misinformation Tracking
  • Multimodal IR (Text, Image, Video), Virality Prediction
• AI-Driven Methods & Innovations
  • Large Language Models & Transformers (BERT, GPT, T5, LLaMA), Domain-Specific LLMs
  • Generative AI & Automation: Abstractive Summarization, Synthetic Data, Multimodal LLMs
  • Graph & Deep Learning: GNNs, Swarm Intelligence Hybridized With Transformers
  • Efficiency & Scalability: Model Compression, Federated Learning, Distributed Training
• Cross-Cutting Themes
  • Human-Centric NLP: Interactive AI, Explainability, Attention Visualization
  • Machine Translation & Multilinguality: Zero-Shot, Low-Resource Adaptation
  • Decentralized & Collaborative Systems: Blockchain, Federated Search, Privacy-Preserving NLP
  • Ethics & Governance: AI Safety, Fairness Audits, Regulatory Compliance, Combatting Misinformation
• Emerging Frontiers
  • AI for Science: Biomedical NLP, Climate Text Analysis, Legal Document Processing
  • Embodied AI: Language Models Integrated With Robotics and Real-World Interaction
  • Self-Supervised Learning: Pre-Training Paradigms Beyond Transformers

Who should Attend

• AI Researchers and NLP Scientists
• Academics in Computational Linguistics and Language Technologies
• Data Scientists and Machine Learning Engineers
• Industry Professionals in AI, Search, and Content Analysis
• Developers of Chatbots, LLMs, and Conversational Agents
• Policy Makers and Regulatory Experts in AI Ethics
• Students and Early-Career Researchers in NLP and IR
• Technology Innovators in Multimodal and Cross-Lingual Applications