2026 EACL EACL 2026

UniBO at MWE-2026 PARSEME 2.0 Subtask 2: A Cross-lingual Approach to Multiword Expression Paraphrasing

Abstract

AbstractThis paper describes MISP (Multilingual Id-iomatic Sentence Paraphrasing), a system sub-mitted to the PARSEME 2.0 MultilingualShared Task on Identification and Paraphras-ing of Multiword Expressions (MWEs). Weparticipated in Subtask 2 on MWE para-phrasing and developed our system based onQwen3-4B-Instruct fine-tuned on syntheticPortuguese MWE paraphrases. We appliedMISP not only to Portuguese, but also to Frenchand Romanian, aiming to leverage cross-lingualtransfer within related languages, with ours be-ing the only submission for Portuguese. Ourresults indicate that MISP struggles to generateparaphrases that both rephrase and preserve theoriginal meaning of the MWE. Additionally,instruction fine-tuning does not appear to im-prove performance. Overall, our findings high-light the challenges of paraphrasing MWEs,particularly in a cross-lingual setting

🌉 Interdisciplinary Bridge — Artificial Intelligence and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio