Hybrid Conferencee

International Conference on Computational Linguistics and Machine Translation (ICCLMT - 26)

23rd - 24th September 2026 | Kowloon City, Hong Kong

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kowloon City conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kowloon City, 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 Kowloon City."
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 Neural Machine Translation

This track focuses on the latest developments in neural machine translation technologies. Participants will explore innovative architectures and training methodologies that enhance translation accuracy and fluency.

Track 02

Computational Linguistics in Social Sciences

This session examines the application of computational linguistics techniques to analyze social science data. Researchers will present case studies demonstrating the impact of language processing on social phenomena.

Track 03

Bilingual Corpora and Their Applications

This track delves into the creation and utilization of bilingual corpora for translation and linguistic research. Discussions will highlight methodologies for corpus development and their implications for language learning.

Track 04

Syntax and Semantics in Machine Translation

This session investigates the interplay between syntax and semantics in the context of machine translation. Participants will discuss how understanding these linguistic components can improve translation systems.

Track 05

Statistical Approaches to Translation Evaluation

This track focuses on statistical methods for evaluating translation quality. Researchers will present novel metrics and frameworks that enhance the assessment of machine-generated translations.

Track 06

Cross-Language Processing Techniques

This session explores techniques for processing and analyzing data across multiple languages. Emphasis will be placed on the challenges and solutions in cross-language information retrieval and text mining.

Track 07

Language Resources for Computational Linguistics

This track highlights the importance of language resources, such as annotated corpora and lexicons, in advancing computational linguistics research. Participants will discuss resource creation, sharing, and utilization.

Track 08

Multilingual Computing and Its Challenges

This session addresses the complexities of multilingual computing in diverse applications. Discussions will focus on the technical and linguistic challenges faced in developing multilingual systems.

Track 09

Applied Linguistics and Technology Integration

This track examines the integration of applied linguistics principles with technological advancements. Researchers will present findings on how technology can enhance language teaching and learning.

Track 10

Parallel Texts in Translation Studies

This session investigates the role of parallel texts in understanding translation processes and practices. Participants will explore how parallel corpora can inform translation strategies and training.

Track 11

Innovations in Natural Language Processing

This track showcases cutting-edge innovations in natural language processing that impact various fields. Researchers will present their work on algorithms, models, and applications that push the boundaries of NLP.