CALL FOR PAPERS FOR A SPECIAL ISSUE
Bridging Linguistic Diversity and Artificial Intelligence: Natural Language Processing for Low-Resource Languages, like Persian
Guest Editor of special issue: Dr. Elham Alayiaboozar
Assistant Professor. Information Science faculty. Computational Linguistics group.
Iranian Research Institute for Information Science and Technology (IranDoc)
Email: alayi@irandoc.ac.ir
Recent advances in Artificial Intelligence (AI), particularly in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous language agents, have fundamentally transformed the field of Natural Language Processing (NLP). Nevertheless, the majority of these developments remain predominantly English-centric, leaving many linguistic communities underserved—especially low-resource languages such as Persian.
This Special Issue seeks to foreground the importance of linguistic diversity in the development of AI systems by inviting contributions that address low-resource and underrepresented languages, such as Persian, from computational, linguistic, and interdisciplinary perspectives. We welcome submissions that combine scientific rigor, methodological sophistication, and linguistic insight, while contributing to the advancement of low resources languages, models, and technologies within the global AI ecosystem.
The aim of this issue is to support research that not only advances the theoretical and technical foundations of NLP for Persian and other low-resource languages, but also helps reduce the existing gap between contemporary AI advancements and the linguistic diversity of the world’s languages.
We invite original research, survey papers that fall under, but are not limited to, the following categories:
- Linguistically-informed NLP for low-resource and underrepresented languages;
- Multilingual Large Language Models: Corpora, Alignment, and Bias;
- Multilingual transfer learning and cross-lingual semantic modeling;
- Retrieval-Augmented Generation (RAG) and knowledge-grounded NLP;
- Hallucination mitigation and reliability in low-resource LLMs;
- Autonomous and conversational language agents;
- Speech technologies and multimodal AI systems;
- NLP for dialectal variation, code-switching, and linguistic diversity;
- Datasets, and evaluation frameworks for low-resource NLP;
- Fairness, bias mitigation, and reproducibility in AI systems;
- Human-centered NLP applications in education, healthcare, law, and governance;
- AI-driven approaches to linguistic and cultural preservation.
Submission Guidelines:
Submissions must be original, unpublished, and not under review elsewhere. Manuscripts will undergo rigorous peer review with attention to both technical rigor and linguistic relevance. Each submission will be evaluated by the guest Editor and editorial board and those papers recognized as out of scope will be desk rejected. The remaining submissions will be evaluated by at least two reviewers. After being reviewed, the submissions will receive an acceptance email message.
Manuscripts should follow the journal’s formatting and submission guidelines.
Important Dates:
First Announcement: July 2, 2026
Second Announcement: November 1, 2026
Final Reminder: December 1, 2026
Submission Due: December 15, 2026
Reviews Due: January 30, 2026
Final Papers: February 30, 2027