In Press: Trends in Cognitive Sciences Computational models of retrieval processes in sentence processing Shravan Vasishth Department of Linguistics, University of Potsdam, Potsdam, Germany Bruno Nicenboim Department of Linguistics, University of Potsdam, Potsdam, Germany Felix Engelmann Manchester University, UK Frank Burchert Department of Linguistics, University of Potsdam, Potsdam, Germany September 3, 2019 Abstract Sentence comprehension requires that the comprehender work out who did what to whom. This process has been characterized as retrieval from memory. This review summarizes the quantitative predictions and empirical coverage of the two existing computational models of retrieval, and shows how the predictive performance of these two competing models can be tested against a benchmark data-set. We also show how computational modeling can help us better understand sources of variability in both unimpaired and impaired sentence comprehension. Keywords: cue-based retrieval; retrieval interference; comprehension impair- ments in aphasia; individual differences Cue-based retrieval and interference in sentence processing Comprehending a sentence involves an array of cognitive processes, including lexical access of words from memory, incremental structure building, and computing the meaning of the sentence. One important aspect of sentence comprehension is working out who did what to whom. As an example, consider the following sentence: “The worker was surprised that the resident who was living near the dangerous neighbor was complaining about the investigation.” Correspondence:
[email protected] RETRIEVAL IN SENTENCE PROCESSING 2 To fully understand this sentence, the reader must work out who was surprised, what they were surprised about, who was doing the complaining, and what they were complaining about. In sentence processing research, working out these connections between the words is often termed dependency completion.