The lexicon is the store of words in long-term memory. Any attempt at modelling lexical competence must take issues of string storage seriously. In the present contribution, we discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and detail a multi-task evaluation protocol for their assessment. The proposed protocol is applied to a novel computational architecture for lexical storage and acquisition, the "Topological Temporal Hebbian SOMs" (T2HSOMs), which are grids of topologically organised memory nodes with dedicated sensitivity to time-bound sequences of letters. These maps can provide a rigorous and testable conceptual framework within which to provide a comprehensive, multi-task protocol for testing the performance of Hebbian self-organising memories, and a comprehensive picture of the complex dynamics between lexical processing and the acquisition of morphological structure.
Evaluating Hebbian self-organizing memories for lexical representation and access
Marzi Claudia
Primo
;Ferro MarcelloSecondo
;Caudai Claudia;Pirrelli VitoUltimo
2012
Abstract
The lexicon is the store of words in long-term memory. Any attempt at modelling lexical competence must take issues of string storage seriously. In the present contribution, we discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and detail a multi-task evaluation protocol for their assessment. The proposed protocol is applied to a novel computational architecture for lexical storage and acquisition, the "Topological Temporal Hebbian SOMs" (T2HSOMs), which are grids of topologically organised memory nodes with dedicated sensitivity to time-bound sequences of letters. These maps can provide a rigorous and testable conceptual framework within which to provide a comprehensive, multi-task protocol for testing the performance of Hebbian self-organising memories, and a comprehensive picture of the complex dynamics between lexical processing and the acquisition of morphological structure.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.orgunit | Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI | en |
| dc.authority.people | Marzi Claudia | en |
| dc.authority.people | Ferro Marcello | en |
| dc.authority.people | Caudai Claudia | en |
| dc.authority.people | Pirrelli Vito | en |
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| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
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| dc.date.accessioned | 2024/02/19 12:26:28 | - |
| dc.date.available | 2024/02/19 12:26:28 | - |
| dc.date.firstsubmission | 2024/09/26 17:29:49 | * |
| dc.date.issued | 2012 | - |
| dc.date.submission | 2024/09/30 16:44:57 | * |
| dc.description.abstracteng | The lexicon is the store of words in long-term memory. Any attempt at modelling lexical competence must take issues of string storage seriously. In the present contribution, we discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and detail a multi-task evaluation protocol for their assessment. The proposed protocol is applied to a novel computational architecture for lexical storage and acquisition, the "Topological Temporal Hebbian SOMs" (T2HSOMs), which are grids of topologically organised memory nodes with dedicated sensitivity to time-bound sequences of letters. These maps can provide a rigorous and testable conceptual framework within which to provide a comprehensive, multi-task protocol for testing the performance of Hebbian self-organising memories, and a comprehensive picture of the complex dynamics between lexical processing and the acquisition of morphological structure. | - |
| dc.description.affiliations | Institute for Computational Linguistics | - |
| dc.description.allpeople | Marzi, Claudia; Ferro, Marcello; Caudai, Claudia; Pirrelli, Vito | - |
| dc.description.allpeopleoriginal | Marzi C.; Ferro M.; Caudai C.; Pirrelli V. | en |
| dc.description.fulltext | open | en |
| dc.description.numberofauthors | 4 | - |
| dc.identifier.isbn | 978-2-9517408-7-7 | en |
| dc.identifier.isi | WOS:000323927700142 | - |
| dc.identifier.scopus | 2-s2.0-84892554635 | en |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/225692 | - |
| dc.identifier.url | http://www.lrec-conf.org/proceedings/lrec2012/index.html | en |
| dc.language.iso | eng | en |
| dc.miur.last.status.update | 2024-09-26T15:29:57Z | * |
| dc.relation.alleditors | Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet UÄYur DoÄY an and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis | en |
| dc.relation.conferencedate | 23-25/05/2012 | en |
| dc.relation.conferencename | LREC'12 - 8th International Conference on Language Resources and Evaluation | en |
| dc.relation.conferenceplace | Istanbul, Turkey | en |
| dc.relation.firstpage | 886 | en |
| dc.relation.ispartofbook | Language Resources and Evaluation | en |
| dc.relation.lastpage | 893 | en |
| dc.relation.medium | ELETTRONICO | en |
| dc.relation.numberofpages | 8 | en |
| dc.subject.keywordseng | Mental Lexicon | - |
| dc.subject.keywordseng | Morphology Acquisition | - |
| dc.subject.keywordseng | Self-Organizing Maps | - |
| dc.subject.singlekeyword | Mental Lexicon | * |
| dc.subject.singlekeyword | Morphology Acquisition | * |
| dc.subject.singlekeyword | Self-Organizing Maps | * |
| dc.title | Evaluating Hebbian self-organizing memories for lexical representation and access | en |
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| scopus.contributor.affiliation | Dept. of Theoretical and Applied Linguistics | - |
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| scopus.contributor.subaffiliation | University of Pavia; | - |
| scopus.contributor.subaffiliation | Institute for Computational Linguistics; | - |
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| scopus.description.abstracteng | The lexicon is the store of words in long-term memory. Any attempt at modelling lexical competence must take issues of string storage seriously. In the present contribution, we discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and detail a multi-task evaluation protocol for their assessment. The proposed protocol is applied to a novel computational architecture for lexical storage and acquisition, the "Topological Temporal Hebbian SOMs" (T2HSOMs), which are grids of topologically organised memory nodes with dedicated sensitivity to time-bound sequences of letters. These maps can provide a rigorous and testable conceptual framework within which to provide a comprehensive, multi-task protocol for testing the performance of Hebbian self-organising memories, and a comprehensive picture of the complex dynamics between lexical processing and the acquisition of morphological structure. | * |
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| scopus.subject.keywords | Mental Lexicon; Morphology Acquisition; Self-Organizing Maps; | * |
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| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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