AI RESEARCH
Information-Theoretic Storage Cost in Sentence Comprehension
arXiv CS.CL
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ArXi:2602.18217v2 Announce Type: replace Real-time sentence comprehension imposes a significant load on working memory, as comprehenders must maintain contextual information to anticipate future input. While measures of such load have played an important role in psycholinguistic theories, they have largely been formalized using symbolic grammars, which assign discrete, uniform costs to syntactic predictions.