2026-05-15T13:35:08Zhttps://iris.cnr.it/oai/request

oai:iris.cnr.it:20.500.14243/2285772024-04-14T10:56:30Zcom_20.500.14243_46com_20.500.14243_21col_20.500.14243_48

Computational Complexity in Neurally-inspired Morphology processing Pirrelli Vito Pirrelli, Vito Pirrelli, Vito Morphological Complexity Morphological Paradigms Artificial Neural NetWorks Word Processing Pre-compilation of memory "chunks" in the mental lexicon is beneficial for on-line processing because it enhances the capacity to predict the completion of an upcoming input word and to maintain longer and more complex word sequences in the STM store: the more we memorize, the less material we need to integrate on-line. Morpheme-based representations are like memory chunks that come into the picture when memory of whole words fails, due to either novel, degenerate and noisy input, or to limitations in perception/memory spans. Due to the combinatorial nature of language and our memory limitations, less "chunking" and more on-line integration is expected at processing levels beyond morphology. 2012 info:eu-repo/semantics/conferenceObject https://hdl.handle.net/20.500.14243/228577 eng International Workshop on Morphological Complexity