Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language Variety Researchers Paolo Di Natale, Elena Chiocchetti, Marlies Alber, and Egon W. Stemle found that reasoning models offer little benefit for simple term insertion but yield clear gains for homonym disambiguation in legal translation from Italian into South Tyrolean German, a non-dominant language variety, according to a paper presented at the 26th Annual Conference of the European Association for Machine Translation in June 2026. Human evaluation of reasoning traces showed these gains do not necessarily reflect robust, factually grounded translation-specific reasoning, and without external terminological resources, even state-of-the-art reasoning models struggle to retrieve correct terminology, while NMT small models remain competitive when trained on in-domain bilingual corpora. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language Variety https://aclanthology.org/2026.eamt-1.23.pdf Paolo Di Natale /people/paolo-di-natale/unverified/ , Elena Chiocchetti /people/elena-chiocchetti/unverified/ , Marlies Alber /people/marlies-alber/unverified/ , Egon W. Stemle /people/egon-stemle/ Abstract Term injection in machine translation is undergoing a paradigm shift in the era of large language models LLMs . Although recent shared-task results suggest near-saturation for sentence-level term injection from pre-defined glossaries, it remains unclear whether this also holds in more challenging settings. We address this question with a custom test set for legal translation from Italian into South Tyrolean German, a non-dominant and under-resourced language variety. We cover three terminology challenges: simple term injection, localisation of abbreviated forms, and homonym disambiguation. We focus on Reasoning Models RMs leveraging Test-Time Scaling, comparing them with different architectures and contributing a human analysis of reasoning traces. We find that reasoning offers little benefit for simple term insertion, but yields clear gains for semantically complex cases such as homonym disambiguation. However, human evaluation of reasoning traces shows that these gains do not necessarily reflect robust and factually grounded translation-specific reasoning. We further show that without external terminological resources, even state-of-the-art RMs struggle to retrieve correct terminology for a non-dominant variety, while NMT small models remain competitive when trained on in-domain bilingual corpora. Based on these findings, we propose data collection strategies for inducing translation-specific reasoning, frameworks for adapting to and evaluating terminology across many language varieties, and terminology challenges beyond simple term injection.- Anthology ID: - 2026.eamt-1.23 - Volume: Proceedings of the 26th Annual Conference of the European Association for Machine Translation Volume 1 /volumes/2026.eamt-1/ - Month: - June - Year: - 2026 - Address: - Tilburg, The Netherlands - Editors: Dimitar Shterionov /people/dimitar-shterionov/unverified/ , Eva Vanmassenhove /people/eva-vanmassenhove/ , Mirella De Sisto /people/mirella-de-sisto/unverified/ , Fred Blain /people/frederic-blain/ , Javad Pourmostafa Roshan Sharami /people/javad-pourmostafa-roshan-sharami/ , Lisa Lepp /people/lisa-lepp/unverified/ , Chiara Manna /people/chiara-manna/unverified/ , Argentina Anna Rescigno /people/argentina-anna-rescigno/ , Alina Karakanta /people/alina-karakanta/unverified/ , Ayla Rigouts Terryn /people/ayla-rigouts-terryn/ , Manuel Lardelli /people/manuel-lardelli/ , Natalia Resende /people/natalia-resende/unverified/ , Elena Murgolo /people/elena-murgolo/unverified/ , Janiça Hackenbuchner /people/janica-hackenbuchner/ , Anna Zaretskaya /people/anna-zaretskaya/unverified/ , Miquel Esplà-Gomis /people/miquel-espla-gomis/unverified/ , Thierry Etchegoyhen /people/thierry-etchegoyhen/unverified/ , Dagmar Gromann /people/dagmar-gromann/ , Rachel Bawden /people/rachel-bawden/ , Barry Haddow /people/barry-haddow/unverified/ , Sara Szoc /people/sara-szoc/unverified/ , Mikel Forcada /people/mikel-l-forcada/ , Helena Moniz /people/helena-moniz/ - Venue: EAMT /venues/eamt/ - SIG: - Publisher: - European Association for Machine Translation - Note: - Pages: - 348–371 - Language: - URL: https://aclanthology.org/2026.eamt-1.23/ https://aclanthology.org/2026.eamt-1.23/ - DOI: - Cite ACL : - Paolo Di Natale, Elena Chiocchetti, Marlies Alber, and Egon W. Stemle. 2026. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language Variety https://aclanthology.org/2026.eamt-1.23/ . In Proceedings of the 26th Annual Conference of the European Association for Machine Translation Volume 1 , pages 348–371, Tilburg, The Netherlands. European Association for Machine Translation. - Cite Informal : Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language Variety https://aclanthology.org/2026.eamt-1.23/ Di Natale et al., EAMT 2026 - PDF: https://aclanthology.org/2026.eamt-1.23.pdf https://aclanthology.org/2026.eamt-1.23.pdf