A user study by researchers including Jeniffer Leal-Wyss, Delaney Lothian, Gabriel Bernier-Colborne, Rebecca Knowles, and Michel Simard, presented at the 26th Annual Conference of the European Associa…
A study presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) benchmarked safety across five large language models (LLMs) in English and Portuguese, findin…
A study presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT 2026) evaluated an AI post-editing (AIPE) system across 71,262 production segments in five dom…
AIDA Agents, a multi-agent translation platform developed by Emanuele Di Rosa and Piotr Peszynski, outperforms all systems on 10 of 11 language pairs in the WMT24++ benchmark (11 languages) and achiev…
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 disambigu…
Since 2023, translators for the Parliament of Canada have had the option to use neural machine translation (NMT) technology provided by the National Research Council of Canada (NRC) to support their w…
A study presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) found that glossary-augmented prompting of the Gemini LLM achieved the highest exact-match te…
The ARTICULATE project, funded by the CHIST-ERA call 2025, aims to democratize scientific knowledge beyond academia and English-speaking audiences by integrating AI with self-regulated learning to tra…
Judith Klein, in a paper presented at the 26th Annual Conference of the European Association for Machine Translation (EAMT) in June 2026 in Tilburg, Netherlands, introduced advanced CAT tool features …