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https://www.psychologytoday.com/us/blog/life-bilingual/201908/understanding-language-loss Understanding Language Loss | Psychology Today Languages can be acquired but they can also be lost. In this post, an expert on the topic of language attrition in bilinguals tells us about it. language loss understanding psychology today https://daily.jstor.org/language-loss-in-a-time-of-war/ Language Loss in a Time of War - JSTOR Daily May 16, 2024 - War happens when words no longer work. Yet war is declared at the very point when words are at their most powerful. Chi Luu examines language loss in war. a time of war language loss jstor daily https://variancejournal.org/article/133589-catastrophe-duration-and-loss-prediction-via-natural-language-processing Catastrophe Duration and Loss Prediction via Natural Language Processing | Published in Variance natural language processing https://pmc.ncbi.nlm.nih.gov/articles/PMC11087018/ Language Growth in Children with Mild to Severe Hearing Loss who Received Early Intervention by 3... To evaluate the impact of hearing screening, diagnosis, and early intervention (EI) by 3 months or 6 months of age on language growth trajectories for children... https://research-repository.uwa.edu.au/en/publications/the-longitudinal-relationship-between-hearing-loss-and-cognitive-/ The longitudinal relationship between hearing loss and cognitive decline in tonal language-speaking... https://nlpers.blogspot.com/2006/05/heres-loss-theres-loss.html natural language processing blog: Here's a Loss, There's a Loss There are several different notions of "loss" that one encounters in machine learning literature. The definition I stick with is: the end cr... natural language processing blog here loss https://research.ibm.com/publications/dynamic-loss-based-sample-reweighting-for-improved-large-language-model-pretraining--1 Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining for ICLR 2025 -... Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining for ICLR 2025 by Daouda Sow et al. large language model