Elebidunen afasia simulatzeko eredu konputazionalaren oinarriak

Abstract

The brain is fragile. A stroke or traumatic brain injury can lead to long-lasting damage in any cognitive domain, such as language for example. Besides, more than half of the world’s population is bilingual. However, language impairments in bilingual populations have seldom been studied, in part due to the inherent heterogeneity present in the clinical and linguistic characteristics of bilingual patients. Computational models can be used to create homogeneous samples of simulated bilingual patients, which can lead to a better understanding of both healthy and impaired language processing. In this study, we present the expansion of an English speech processing model (EARSHOT) to a bilingual Basque-Spanish speech processing model. Additionally, the lesioning method used to simulate aphasia is described.