Language Development

Language development research seeks to understand how humans acquire language, focusing on both typical and atypical trajectories. Current investigations utilize multimodal benchmarks comparing artificial intelligence models' learning to children's, employing techniques like deep learning architectures (e.g., GANs) to model articulatory and auditory processes, and leveraging speech processing for automated assessment of language skills, particularly in children with Autism Spectrum Disorder. These advancements offer valuable insights into the complexities of language acquisition and provide tools for early identification and intervention in developmental disorders.