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Computational Complexity in Neurally-inspired Morphology processing

Abstract
Publication Date:
2012
abstract:
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.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
Morphological Complexity; Morphological Paradigms; Artificial Neural NetWorks; Word Processing
List of contributors:
Pirrelli, Vito
Authors of the University:
PIRRELLI VITO
Handle:
https://iris.cnr.it/handle/20.500.14243/228577
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