12th International Conference on Natural Language Processing (NATP 2026)

Sat Feb 21 2026 at 09:00 am to 10:00 am UTC-11:00

Vancouver, Canada | North Vancouver

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12th International Conference on Natural Language Processing (NATP 2026)
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12th International Conference on Natural Language Processing (NATP 2026)

February 27 ~ 28, 2026, Vancouver, Canada

https://acsty2026.org/natp/index


Scope

12th International Conference on Natural Language Processing (NATP 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing. The conference looks for significant contributions to all major fields of the applications of Natural Language Processing Technology in theoretical and practical aspects.


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 following areas, but are not limited to.


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


Large Language Models, Generative AI & Foundation Models

  • Pre‑training, fine‑tuning, adaptation
  • Prompting, instruction tuning, alignment
  • Reasoning, planning & tool‑use
  • Emergent behaviors in LLMs
  • Safety, ethics, bias & responsible NLP


Machine Translation, Multilinguality & Low‑Resource NLP

  • Neural & LLM‑based MT
  • Cross‑lingual transfer
  • Low‑resource & endangered languages
  • Community‑driven resource creation
  • Linguistic typology & multilingual modeling

Information Extraction, Retrieval & Knowledge‑Augmented NLP

  • Relation & event extraction
  • Dense/neural retrieval
  • Retrieval‑augmented generation (RAG)
  • Knowledge graphs & structured knowledge integration

Question Answering, Text Understanding & Reasoning

  • Open‑domain QA
  • Reading comprehension
  • Multi-hop reasoning
  • Fact verification & truthfulness

Dialogue Systems, Conversational AI & Agentic NLP


  • Task‑oriented dialogue
  • Open‑domain conversation
  • LLM‑based agents & tool‑use
  • Multi‑agent communication
  • Human–AI collaboration

Semantics, Discourse, Pragmatics & Text Generation

  • Semantic parsing & structured meaning
  • Discourse modeling & long‑context understanding
  • Paraphrasing, entailment & generation
  • Grounded semantics & world modeling
  • Formal semantics & logical approaches

Speech, Multimodal & Embodied Language Processing

  • End‑to‑end ASR/TTS
  • Speech‑text models
  • Vision‑language & audio‑language models
  • Video‑language understanding
  • Embodied agents & multimodal reasoning

Linguistic Resources, Corpora, Annotation & Evaluation


  • Dataset creation & annotation
  • Human‑subject studies & annotation psychology
  • Evaluation of LLMs
  • Benchmarking & reproducibility
  • Robustness & adversarial testing

Computational Linguistics, Language Structure & Cognitive Modeling

  • Morphology, phonology & syntax
  • Cognitive modeling & psycholinguistics
  • Human sentence processing
  • Language acquisition & memory
  • Mathematical linguistics

NLP for Humanities, Social Sciences & Cultural Analytics

  • Computational social science
  • Digital humanities
  • Cultural and historical text analysis
  • Social media analysis
  • Political discourse & narrative modeling

Applied NLP, Education Technology & NLP for Social Good


  • Healthcare, legal, financial, educational NLP
  • Intelligent tutoring systems
  • Automated essay scoring
  • Crisis informatics
  • Climate & environmental NLP
  • Societal impact & policy implications

Efficiency, Optimization & Deployment of NLP Systems

  • Model compression & distillation
  • Efficient inference & hardware‑aware NLP
  • Edge deployment
  • Scalable training & serving
  • Toolkits, infrastructure & open‑source ecosystems

Creativity, Narrative & Computational Arts

  • Story generation
  • Computational poetry
  • Humor generation
  • Co‑creative writing systems
  • Creative multimodal generation

Theoretical Foundations & Analysis of NLP Models


  • Theory of transformers & neural architectures
  • Probing & interpretability
  • Limits & capabilities of language models
  • Formal models of computation for NLP


Paper Submission


Authors are invited to submit papers through the conference Submission System by January 17, 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 NATP 2026, after further revisions, will be published in the special issue of the following journal.


  • International Journal of Web & Semantic Technology (IJWesT) – IS Indexed
  • International Journal on Natural Language Computing (IJNLC)
  • Information Technology in Industry (ITII)

Important Dates


  • Submission Deadline: January 17, 2026
  • Authors Notification : February 10, 2026
  • Registration & Camera-Ready Paper Due : February 17, 2026


Contact Us


Here’s where you can reach us : [email protected] (or) [email protected]


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