Hybrid Conferencee

International Conference on Computational Linguistics and Artificial Intelligence (ICCLAI - 26)

14th - 15th December 2026 | Abu Dhabi, UAE
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Abu Dhabi. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Abu Dhabi event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Abu Dhabi conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Abu Dhabi, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Abu Dhabi."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Advancements in Natural Language Processing

This track focuses on the latest developments in natural language processing technologies, emphasizing their applications in social science research. Participants will explore innovative algorithms and models that enhance language understanding and generation.

Track 02

Machine Learning Techniques in Linguistics

This session will delve into the integration of machine learning methodologies within linguistic research. Attendees will discuss case studies that illustrate the effectiveness of these techniques in analyzing linguistic data.

Track 03

Semantics and Meaning in Computational Contexts

This track examines the role of semantics in computational linguistics, highlighting how meaning is represented and processed by machines. Researchers will present their findings on semantic analysis and its implications for artificial intelligence.

Track 04

Syntax and Structure in Language Processing

Focusing on the syntactic aspects of language, this session will cover various approaches to syntactic parsing and analysis in computational linguistics. Participants will share insights on how syntactic structures influence language technology applications.

Track 05

Pragmatics and Contextual Understanding

This track investigates the importance of pragmatics in enhancing the contextual understanding of language by artificial intelligence systems. Discussions will center on how pragmatic theories can inform the design of more sophisticated NLP applications.

Track 06

Knowledge Systems and Linguistic Representation

This session will explore the intersection of knowledge representation and linguistic theory within computational frameworks. Researchers will present models that effectively integrate linguistic knowledge into artificial intelligence systems.

Track 07

Technological Innovations in Linguistic Research

This track highlights cutting-edge technologies that are transforming linguistic research methodologies. Participants will discuss tools and platforms that facilitate advanced linguistic analysis and data processing.

Track 08

Ethical Considerations in AI and Linguistics

This session addresses the ethical implications of applying artificial intelligence in linguistic research and applications. Experts will engage in discussions about bias, fairness, and the societal impact of language technologies.

Track 09

Cross-Linguistic Studies in Computational Linguistics

This track focuses on the challenges and opportunities presented by cross-linguistic research in computational linguistics. Participants will share findings on how language diversity influences computational models and algorithms.

Track 10

Interdisciplinary Approaches to Language Technology

This session encourages collaboration between linguistics and other disciplines, such as psychology and sociology, to enhance language technology. Attendees will explore how interdisciplinary methods can lead to richer insights and innovations.

Track 11

Future Directions in Computational Linguistics

This track aims to identify emerging trends and future research directions in the field of computational linguistics. Participants will discuss potential breakthroughs and the evolving role of artificial intelligence in understanding human language.