Exploring a corpus-based approach for detecting language impairment in monolingual English-speaking children

摘要

ObjectivesThis paper explores the use of an automated method for analyzing narratives of monolingual English speaking children to accurately predict the presence or absence of a language impairment. The goal is to exploit corpus-based approaches inspired by the fields of natural language processing and machine learning.