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.
Computational Complexity in Neurally-inspired Morphology processing
Pirrelli;Vito
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.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.people | Pirrelli | it |
| dc.authority.people | Vito | it |
| dc.collection.id.s | 69aaa6b3-f0f0-47c1-b9a1-040bae867ec3 | * |
| dc.collection.name | 04.02 Abstract in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/20 19:44:46 | - |
| dc.date.available | 2024/02/20 19:44:46 | - |
| dc.date.issued | 2012 | - |
| dc.description.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. | - |
| dc.description.affiliations | ILC-CNR, Pisa | - |
| dc.description.allpeople | Pirrelli, Vito; Pirrelli, Vito | - |
| dc.description.allpeopleoriginal | Pirrelli, Vito | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 2 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/228577 | - |
| dc.language.iso | eng | - |
| dc.relation.conferencedate | 13-14 January 2012 | - |
| dc.relation.conferencename | International Workshop on Morphological Complexity | - |
| dc.relation.conferenceplace | British Academy, London, UK | - |
| dc.subject.keywords | Morphological Complexity | - |
| dc.subject.keywords | Morphological Paradigms | - |
| dc.subject.keywords | Artificial Neural NetWorks | - |
| dc.subject.keywords | Word Processing | - |
| dc.subject.singlekeyword | Morphological Complexity | * |
| dc.subject.singlekeyword | Morphological Paradigms | * |
| dc.subject.singlekeyword | Artificial Neural NetWorks | * |
| dc.subject.singlekeyword | Word Processing | * |
| dc.title | Computational Complexity in Neurally-inspired Morphology processing | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.02 Abstract in Atti di convegno | it |
| dc.type.miur | 274 | - |
| dc.ugov.descaux1 | 288089 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 17:38:26 | * |
| iris.orcid.lastModifiedMillisecond | 1712245106534 | * |
| iris.sitodocente.maxattempts | 3 | - |
| Appare nelle tipologie: | 04.02 Abstract in Atti di convegno | |
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