Mahadeshwar, Ruhi Umesh (2022) Predicting interference effects for the processing of subject-verb agreement in comprehension in Marathi. Bachelor's Thesis, Artificial Intelligence.
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Abstract
When comprehending sentences in English, agreement attraction effects take place for subject-verb agreement sentences with a prepositional phrase. A speed-up or slow-down in reading and processing the verb is seen. These are known as the facilitatory or inhibitory effects respectively and are seen as a side effect of cue-based retrieval mechanisms in content-addressable memory architectures, such as the Lewis and Vasishth [2005] sentence processing model in ACTR. However, this model is only for the English language. Thus, I try to use an equivalent of the ACT-R model in the R language [Team et al., 2013]. Using this new model and cue-based retrieval mechanisms, I try to predict how such effects take place and the magnitude of them in another language: Marathi. Based on the model, I conclude that agreement attraction effects most likely occur in Marathi. However, I argue that the R model can be improved to simulate the sentence processing mechanisms more biologically, allowing for more accurate predictions.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Supervisor name: | Jones, S.M. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Jul 2022 12:55 |
| Last Modified: | 15 Jul 2022 12:55 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27923 |
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