NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Blott, Lena M.; Rodd, Jennifer M.; Ferreira, Fernanda; Warren, Jane E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Misinterpretations during language comprehension are common. The ability to recover from processing difficulties is therefore crucial for successful day-to-day communication. Previous research on the recovery from misinterpretations has focused on sentences containing syntactic ambiguities. The present study instead investigated the outcome of…
Descriptors: Reading Comprehension, Sentences, Misconceptions, Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Adamo-Villani, Nicolleta; Beni, Gerardo – Journal of Educational Technology Systems, 2007
We introduce a new method of sign language subtitling aimed at young deaf children who have not acquired reading skills yet, and can communicate only via signs. The method is based on: 1) the recently developed concept of "semantroid[TM]" (an animated 3D avatar limited to head and hands); 2) the design, development, and psychophysical evaluation…
Descriptors: Test Results, Semantics, Sign Language, Sentences