New Japanese euphemism benchmark (JP-PET): models do well on seen euphemisms, but performance drops hard on unseen PETs, suggesting reliance on lexical familiarity over pragmatic understanding. XLM-R generalized best.
#NLP#JapaneseNLP#LLM#LREC2026
An NLP study on detecting Ukrainian war euphemisms like “бавовна” (“explosion”) and “пташка” (“drone”). GPT-4o performs well on a newly annotated dataset, but the harder problem remains contextual disambiguation, sarcasm, and shifting euphemistic meaning over time. #UkrainianNLP
Semantic overlap alone may not be enough for cross-lingual euphemism transfer. Interesting results on Turkish↔English euphemism detection showing strong asymmetries even when expressions appear semantically aligned.
#NLP#MultilingualAI#LLM#SIGTURK2026
Looking for scholars whose work addresses real-world language challenges in educational, clinical, or communicative contexts, grounded in strong theoretical foundations.
Takeaway: cross-lingual transfer isn’t “more is better.”
Success depends on the model, language pair, and training order.
Great work by Julia Sammartino advancing research on multilingual euphemism detection! 👏
#RANLP2025#TransferLearning#LowResource#AIResearch
🎉 We’re proud of our recent graduate Julia Sammartino https://t.co/bgEQUuZqmG, who presented her paper “When Does Language Transfer Help? Sequential Fine-Tuning for Cross-Lingual Euphemism Detection” at #RANLP2025!
📄 Preprint: https://t.co/T2BMFjAfNg
🧩 Findings:
• XLM-R → bigger boosts, but more catastrophic forgetting when languages differ.
• mBERT → steadier, smaller gains, less forgetting.
Transfer helps, but only in the right conditions.
Linguistics kicked off its new Book Club with Algospeak by @adam_aleksic how people twist words like “unalive” or “seggs” to dodge algorithms. Takeaway: platforms don’t just host language -- they shape it. Next up: Cultish by @amandamontell ! #MontclairLinguistics#Algospeak
Join us Nov 21, 2024, at 3:30 PM for a talk by Dr. Sharon Levy @sharonlevy21: "Discovering Implicit Social Biases in Large Language Models".
Explore how AI biases arise unexpectedly in domains like healthcare, education, and decision-making.
#NLPMontclair#ResponsibleAI
Join us Nov 21, 2024, at 3:30 PM for a talk by Dr. Sharon Levy @sharonlevy21: "Discovering Implicit Social Biases in Large Language Models".
Explore how AI biases arise unexpectedly in domains like healthcare, education, and decision-making.
#NLPMontclair#ResponsibleAI