Published online by Cambridge University Press: 15 May 2026
The evaluations of model accuracy reported thus far were all conducted on the data used to train the model. However, a model should also generalize, that is, achieve a certain level of accuracy when encountering unseen or novel data, provided that the data is not completely random. Of course, since the DLM is developed as a cognitive model, we also do not want model accuracy to outperform the accuracy of human subjects. In addition, we also do not want the model to produce errors that native speakers would never make.
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