Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

Three experiments examined the role of phonology in the activation of word meanings in Grade 5 students. In Experiment 1, homophone and spelling control errors were embedded in a story context and participants performed a proofreading task as they read for meaning. For both good and poor readers, more homophone errors went undetected than spelling…