A major condition for the take-off of the field of Language Resources and Language Technologies is the creation of a shared policy for the next years. FLaReNet aims at developing a common vision of the area and fostering a European strategy for consolidating the sector, thus enhancing competitiveness at EU level and worldwide. By creating a consensus among major players in the field, the mission of FLaReNet is to identify priorities as well as short, medium, and long-term strategic objectives and provide consensual recommendations in the form of a plan of action for EC, national organisations and industry. Through the exploitation of new collaborative modalities as well as workshops and meetings, FLaReNet will sustain international cooperation and (re)create a wide Language community.
Late update, but we had two great talks last month!
#MachineTranslation #FBK #NLProc #GenderBias #SpeechSynthesis
Our pick of the week by @dhairya_su47605
: "Scaling Laws for Precision" by @tanishqkumar07, Zachary Ankner, @bfspectorShiekh, @blake__bordelon, @Muennighoff, @mansiege, @CPehlevan, Christopher R´e, @AdtRaghunathan
📰
#Quantization #LLM #ScalingLaw
Pick of the week @fbk_mt
Super interesting paper on the limitations of quantization, demonstrating how post-training quantization scales poorly in data.
https://arxiv.org/abs/2411.04330
⭐ For our #PickOfTheWeek, this paper explores an important question for modern speech AI:
🎙️ Which Evaluation for Which Speech Model?
👥 Authors: @Maureendss , @EeshanDhekane
Speech foundation models are evolving rapidly, but evaluation practices are still fragmented.
🏝️ Yesterday at #LREC2026, Palma de Mallorca!
@lina_conti presented "Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation" at the poster session.
📄Paper:
💻Code: https://github.com/lina-conti/voice-bias-coreference
#SpeechTranslation #NLProc