In this fascinating paper, researchers use deep learning to explore the concept of non-arbitrariness in language. Using different sequence-processing neural networks, they assess the prevalence of non-arbitrary phonological patterns in various languages. Through a series of experiments, they train the models to associate the sounds of words with their sensory, semantic, and word-class representations. The […]
Imagine your brain as a vast library of word associations. The Remote Associates Test (RAT) is like a treasure hunt through this library, where you’re given three seemingly unrelated words and challenged to find the one word that connects them all. In this study, researchers dive into the mechanics of our semantic memory to understand […]
The rapid transmission of monkeypox among individuals worldwide is triggering concerns of an imminent global outbreak akin to the COVID-19 pandemic. Similar to a contagious rumor spreading across a close-knit community, this viral disease has managed to infiltrate various populations and ignite widespread fear. Monkeypox, caused by a virus in the same family as smallpox, […]
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