Multilingual Representation Learning
MRL 2026: Workshop on Multilingual Representation Learning
In conjunction with
Empirical Methods in Natural Language Processing 2026
October 24-29, 2026
HungExpo
Budapest, Hungary
Covers multilingual and cross-lingual representation learning, low-resource languages, and language transfer. Most of the world’s languages have little digital text, so the central question is how much can be transferred from high-resource languages and where transfer breaks down, particularly for typologically distant or low-resource scripts. Evaluation is a persistent difficulty, since benchmarks themselves are scarce for exactly the languages that most need them.
More workshops at Empirical Methods in Natural Language Processing 2026
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- Climate NLP — Applies NLP to climate change, from analyzing climate discourse to processing environmental and policy documents....
- Financial Technology and NLP — The ACL SIG-FinTech workshop on natural language processing for finance, from market analysis to financial...
- Multimodal Interaction in Face-to-Face Dialogue — Covers multimodal modeling of face-to-face conversation, including speech, gesture, and gaze. Face-to-face conversation carries meaning...
- Natural Legal Language Processing — The venue for NLP applied to legal text, from contract analysis to legal reasoning and...
- NLP for Positive Impact — Focuses on NLP research aimed at social good, from health and education to sustainability and...
- Machine Translation — The long-running venue and shared-task competition for machine translation research, co-located with EMNLP. The shared...
Hotels near HungExpo
Danubius Hotel Arena
Ifjúság útja 1-3, Budapest, Hungary 1148
Expo Congress Hotel
Expo tér 2 - Albertirsai út 10., Budapest, Hungary 1101
Green Hotel Budapest
Kerepesi út 34, Budapest, Hungary 1148
Lion's Garden Hotel Budapest
Cházár András utca 4, Budapest, Hungary 1146
Three Corners Hotel Bristol
Kenyérmező utca 4, Budapest, Hungary 1081
Empirical Methods in Natural Language Processing 2025, Suzhou, China