Computational Models of Retrieval Processes in Sentence Processing
- 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.
| Author details: | Shravan VasishthORCiDGND, Bruno NicenboimORCiDGND, Felix EngelmannGND, Frank BurchertORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1016/j.tics.2019.09.003 |
| ISSN: | 1364-6613 |
| ISSN: | 1879-307X |
| Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/31668586 |
| Title of parent work (English): | Trends in Cognitive Sciences |
| Publisher: | Elsevier |
| Place of publishing: | London |
| Publication type: | Review |
| Language: | English |
| Year of first publication: | 2019 |
| Publication year: | 2019 |
| Release date: | 2020/10/20 |
| Volume: | 23 |
| Issue: | 11 |
| Number of pages: | 15 |
| First page: | 968 |
| Last Page: | 982 |
| Funding institution: | Volkswagen FoundationVolkswagen [89 953]; Deutsche Forschungsgemeinschaft (German Science Foundation)German Research Foundation (DFG) [SFB 1287, 317633480] |
| Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik |
| DDC classification: | 4 Sprache / 41 Linguistik / 410 Linguistik |
| Peer review: | Referiert |
| Publishing method: | Open Access |
| Open Access / Green Open-Access |
