The combination of dynamic user-generated content and multilingual aspects is particularly prominent in Wiki sites. Wikis have gained increased popularity over the last few years as a means of collaborative content creation as they allow users to set up and edit web pages directly. A growing number of organizations use Wikis as an efficient means to provide and maintain information across several sites. Currently, multilingual Wikis rely on users to manually translate different Wiki pages on the same subject. This is not only a time-consuming procedure but also the source of many inconsistencies, as users update the different language versions separately, and every update would require translators to compare the different language versions and synchronize the updates. The overall aim of the CoSyne project is to automate the dynamic multilingual synchronization process of Wikis.
Our pick of the week by @apierg: "Glitter: A Multi-Sentence, Multi-Reference #Benchmark for #Gender-Fair German Machine Translation" by A Pranav, Janiça Hackenbuchner, @peppeatta, @manuellardelli, @anne_lauscher (Findings #EMNLP2025)
#MT #Translation
Impressive work by the Glitter team: a new human-made benchmark for German gender-inclusive MT with long passages and multiple inclusive approaches + experiments showing that MT systems and LLMs still fall short in generating inclusive outputs.
https://aclanthology.org/2025.findings-emnlp.1002/ ✨
@fbk_mt
Our pick of the week by @dhairya_su47605: "How Does #Quantization Affect #Multilingual #LLMs?" by @cheeesio, @TheyCallMeMr_, Hongyu Chen, @d_aumiller, @ahmetustun89, @sarahookr, @seb_ruder (Findings EMNLP, 2024)
Pick of the week @fbk_mt: How Does Quantization Affect Multilingual LLMs?
Quantization has become a widely adopted technique for model compression. This work investigates the impact of quantization on different languages in multilingual LLMs.
https://aclanthology.org/2024.findings-emnlp.935.pdf
🗣️ Calling all researchers & practitioners in #Speech #Translation!
Help shape the future of the #Simultaneous track at @iwslt 2026. Your input matters!
Please spare 3-5 min to fill out this quick survey📋:
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🚀 JOB ALERT 3: The FBK's MT Unit is hiring!
Join us as a Researcher in Responsible & Trustworthy NLP and advance ethical, fair, and transparent language technologies. If you care about building safe and accountable AI systems, you can apply here:
👉 https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_A_Researcher_in_Responsible_and_Trustworthy_NLP_241757983.htm