Towards a psycholinguistic computational model for morphological parsing

Psycholinguistic experiments on visual word recognition in Dutch and other languages show ubiquitous effects of word frequency for regular complex words. The present study presents a simulation experiment with a computational model for morphological segmentation that is designed on psycholinguistic principles. Results suggests that these principles, in combination with the presence of form and frequency information for complex words in the lexicon, protect the system against spurious segmentations and substantially enhance segmentation accuracy.