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۲۱ اردیبهشت - ۲۶ اردیبهشت ۱۴۰۵

رتبه: B (CORE2023)Hybrid

Language Resources and Evaluation Conference

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نمای کلی

LREC 2026, the 15th edition of the Language Resources and Evaluation Conference, will be held in Palma de Mallorca, Spain, on May 11-16, 2026. The conference brings together researchers and practitioners in natural language processing, computational linguistics, speech and multimodality, focusing on evaluation and the development of resources that support work in these areas.

فراخوان مقالات

LREC 2026: First Call for Papers

The Fifteenth biennial Language Resources and Evaluation Conference (LREC) will be held at the Palau de Congressos de Palma in Palma, Mallorca, Spain, on 11-16 May 2026.

LREC serves as the primary forum for presentations describing the development, dissemination, and use of language resources involving both traditional and recently developed approaches.

Topics

Submissions describing all aspects of language resource development and use are invited, including, but not limited to, the following:

  • Language Resource Development
    • Methods and tools for mono- and multi-lingual language resource development and annotation
    • Knowledge discovery/representation (knowledge graphs, linked data, terminologies, lexicons, ontologies, etc.)
    • Resource development for less-resourced/endangered languages
    • Guidelines, standards, best practices, and models for interoperability
  • Language Resource Use
    • Use of language resources in systems and applications for any area of language and speech processing
    • Use of language resources in assistive technologies, support for accessibility
    • Efficient/low-resource methods for language and speech processing
  • Evaluation
    • Methodologies and protocols for evaluation and benchmarking of language technologies
    • Measures for validation of language resources and quality assurance
    • Usability of user interfaces and dialogue systems
    • Bias, safety, and user satisfaction metrics
    • Interpretability/explainability of language models and language and speech processing tools
  • Language Resources and Large Language Models
    • Language resource development for LLMs (monolingual, multilingual, multimodal)
    • (Semi-)automatic generation of training data
    • Training, fine-tuning, adaptation, alignment, and representation learning
    • Guardrails, filters, and modules for generative AI models
  • Policy and Organizational Considerations
    • International and national activities, projects, initiatives, and policies
    • Language coverage and diversity
    • Replicability and reproducibility
    • Organisational, economic, ethical, climate, and legal issues

Separate calls will be issued for Workshops, Tutorials and Industry Track.

Submission Guidelines

Submissions should be 4 to 8 pages in length (excluding references) and follow the LREC stylesheet, which will soon be available on the conference website.

At the time of submission, authors are offered the opportunity to share related language resources with the community. All repository entries are linked to the LRE Map https://lremap.elra.info/, which provides metadata for the resource.

Accepted papers will appear in the conference proceedings, which include both oral and poster papers in the same format. Determination of the presentation format (oral vs. poster) is based solely on an assessment of the optimal method of communication.

Important Dates

(All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”)

DateEvent
17 October 2025Oral and poster paper submission
13 February 2026Notification of acceptance
6 March 2026Camera Ready due
17 October 2025Workshop and tutorial proposals submission
11-16 May 2026LREC 2026 conference

تاریخ‌های مهم

تاریخ‌های کنفرانس

Conference Date

۲۱ اردیبهشت ۱۴۰۵۲۶ اردیبهشت ۱۴۰۵

ارسال مقاله

(Oral and poster) paper submission

جدید

۲۵ مهر ۱۴۰۴

(Workshop and tutorial) proposals submission

جدید

۲۵ مهر ۱۴۰۴

اعلان

Notification of acceptance

جدید

۲۴ بهمن ۱۴۰۴

نسخه نهایی

Camera Ready due

جدید

۱۵ اسفند ۱۴۰۴

رتبه منبع

منبع: CORE2023

رتبه: B

حوزه پژوهشی: Artificial intelligence

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