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The 22nd China Conference on Machine Translation and Multilingual Technology

November 13-15, 2026

Kunming, Yunnan

Call for Posters

The 22nd China Conference on Machine Translation and Multilingual Technology (CCMT 2026): Call for Research Posters​

Background​

The China Conference on Machine Translation and Multilingual Technology (CCMT) is an annual academic conference organized by the Machine Translation and Multilingual Information Processing Committee of the Chinese Information Processing Society of China (CIPS). Since its first edition in 2005, the conference has been held successfully for 21 consecutive years and has become a leading academic forum for natural language processing in China.

As large language models continue to advance, new theories, methods, and applications are emerging in multilingual model optimization, cross-lingual understanding and generation, resources for low-resource languages, and cross-modal language interaction. To encourage academic exchange and collaboration between academia and industry, CCMT 2026 invites research poster submissions from the broader community. The poster session will give researchers and practitioners from around the world a place to present their work, discuss it in person, and advance research and applications in machine translation and multilingual information processing.

Topics​

We welcome posters across machine translation, multilingual information processing, artificial intelligence, and natural language processing. In addition to papers accepted to the CCMT 2026 main conference, research published in leading AI and NLP journals and conferences is welcome, including IEEE TASLP, TACL, CL, AAAI, ACL, NeurIPS, ICLR, EMNLP, NAACL, and COLING. Topics include, but are not limited to:

  • Theory, model optimization, evaluation, and practical systems for machine translation
  • Multilingual large language models, cross-lingual pretraining, and multimodal cross-lingual technologies
  • Foundations, key techniques, and emerging directions in large language models
  • Development and application of large language model agents
  • Innovative applications of large language models across industries and settings

Eligible Work​

Work at different stages of publication is welcome:

  • Published work: Papers recently published in domestic or international journals or conferences.
  • Unpublished or ongoing work: Original work under submission, in progress, or completed but not yet published.
  • Papers accepted to the CCMT 2026 main conference: These may also be presented as posters.

Work at any stage may be submitted for poster selection if it has academic value and original ideas.

Submission​

Submission link: https://f.kdocs.cn/g/iguch8Be/

Submission QR code:

QR code for research poster submissions

Required materials: Paper title, abstract, names of all authors, author contact details, and source of the work.

Submission Deadline​

October 31, 2026

Selection of "Highlight Posters"​

  1. Initial screening: The Program Committee will review all submissions, select work that fits the conference themes and is suitable for display, and notify authors whose posters are accepted.
  2. On-site presentation: Accepted authors should prepare printed posters following the conference guidelines and display them in the designated poster area in Kunming. Authors must be present at their posters during the poster session to discuss their work with attendees.
  3. Highlight poster selection: The Organizing Committee will select several "Highlight Posters" based on the novelty of the work, poster layout, and quality of on-site discussion. Results will be announced at the CCMT 2026 closing ceremony.

Contact​

Email: ljt@suda.edu.cn, zhaoyang2015@ia.ac.cn

Conference website: http://sc.cipsc.org.cn/mt/conference/2026/

We look forward to welcoming researchers to Kunming to discuss the future of multilingual intelligence.

Organizer: Chinese Information Processing Society of China (CIPS)

Host institution: Kunming University of Science and Technology

CCMT 2026 Organizing Committee