A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding
Summary
Potentially idiomatic expressions (PIEs) carry meanings rooted in a community's culture, and current language and vision-language models still struggle with them. Existing idiom corpora are also rarely aligned across languages, so cross-lingual comparison and transfer studies are hard to run. To fill this gap, the authors present XMPIE, a parallel benchmark that expands the two-language AdMIRe 1.0 design (English and Portuguese) to 34 languages. Language experts started from English seed PIEs and, following shared multilingual guidelines, produced counterparts in each target language along with visual material. Each PIE comes with five images that range from its figurative reading to its literal one, plus a distractor. The language set intentionally covers sociolinguistically and digitally endangered languages. With this resource, researchers can check whether a model's understanding of an idiom holds across languages and across modalities (text versus image). It also supports comparing how different cultures express shared concepts. The authors additionally run a benchmark evaluation of models on the data.
Key points
- XMPIE covers 34 languages and contains 3054 PIEs and 7040 images. The abstract describes this as more than ten thousand items.
- Each PIE has five image types: idiomatic, idiomatic-related, literal-related, literal, and a random distractor. The paper's example is "green fingers", meaning gardening skill.
- Endangered languages are included, as classified by UNESCO and the European Language Equality (ELE) report:
- Aromanian and Luxembourgish (sociolinguistically endangered)
- Igbo, Catalan, Greek, Latvian and Lithuanian (digitally endangered)
- The authors argue that classification-style idiom benchmarks do not fully reflect real comprehension. They also note that prior corpora are mostly non-parallel, including PARSEME, MAGPIE, ID10M and SemEval-2022 Task 2.
- Contributors include researchers from Ukrainian institutions: Ternopil Volodymyr Hnatiuk National Pedagogical University and SET University.
Cited by
- ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and Ranking
Cite
@inproceedings{torunoluselamet2026parallel,
title = {{A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding}},
author = {Torunoğlu-Selamet, Dilara and Arslan, Doğukan and Wilkens, Rodrigo and He, Wei and Eryiğit, Doruk and Pickard, Thomas and Pagano, Adriana S. and Villavicencio, Aline and Eryiğit, Gülşen and Abuczki, Ágnes and Cardoso, Aida and Lazarenka, Alesia and Almassova, Dina and Mendes, Amália and Kanellopoulou, Anna and Brosa-Rodriguez, Antoni and Valkovska, Baiba and Wojtowicz, Beata and Pedersen, Bolette and Hidalgo-Ternero, Carlos Manuel and Liebeskind, Chaya and Jokić, Danka and Alves, Diego and Triantafyllidi, Eleni and Velldal, Erik and Philippy, Fred and Oleskeviciene, Giedre Valunaite and Rizgeliene, Ieva and Skadina, Inguna and Lobzhanidze, Irina and Haugen, Isabell Stinessen and Krito, Jauza Akbar and Marković, Jelena M. and Monti, Johanna and Sauca, Josue Alejandro and Zor, Kaja Dobrovoljc and Ugwuanyi, Kingsley O. and Rituma, Laura and Øvrelid, Lilja and Agro, Maha Tufail and Abjalova, Manzura and Chatzigrigoriou, Maria and Ramos, María del Mar Sánchez and Pendevska, Marija and Seyyedrezaei, Masoumeh and Shamsfard, Mehrnoush and Ahsan, Momina and Khan, Muhammad Ahsan Riaz and Norman, Nathalie Carmen Hau and Ayyıldız, Nilay Erdem and Hosseini-Kivanani, Nina and Ligeti-Nagy, Noémi and Naeem, Numaan and Kanishcheva, Olha and Yatsyshyna, Olha and Orel, Daniil and Giommarelli, Petra and Osenova, Petya and Garabik, Radovan and Semou, Regina E. and Rebechi, Rozane and Pranida, Salsabila Zahirah and Touileb, Samia and Nimb, Sanni and Ahmad, Sarfraz and Sharipova, Sarvinoz and Golan, Shahar and Ji, Shaoxiong and Aboh, Sopuruchi Christian and Sucur, Srdjan and Markantonatou, Stella and Olsen, Sussi and Tajalli, Vahide and Lipp, Veronika and Giouli, Voula and Eraydın, Yelda Yeşildal and Saaberi, Zahra and Xie, Zhuohan},
booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference},
year = {2026},
doi = {10.63317/5cvnbcoktfo2},
url = {https://doi.org/10.63317/5cvnbcoktfo2}
}References
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