AI RESEARCH
Syntactically-guided Information Maintenance in Sentence Comprehension
arXiv CS.CL
•
ArXi:2604.27468v1 Announce Type: new Maintaining information in context is essential in successful real-time language comprehension, but maintenance is cognitively costly and can slow processing. We hypothesize that rational language users selectively maintain information that is crucial for future prediction, guided by syntactic structure. Under this view, two factors affect maintenance cost: the number of predicted heads and the number of incomplete dependencies.