Computer processing of written Arabic raises a number of challenges to traditional parsing architectures on many levels of linguistic analysis. In this contribution, we review some of these core issues and the demands they make, to suggest different strategies to successfully tackle them. In the end, we assess these issues in connection with the behaviour of neuro-biologically inspired lexical architectures known as Temporal Self-Organising Maps. We show that, far from being language-specific problems, issues in Arabic processing can shed light on some fundamental characteristics of the human language processor, such as structure-based lexical recoding, concurrent, competitive activation of output candidates and dynamic selection of optimal solutions.
Computational Linguistics and Language Physiology: Insights from Arabic NLP and Cooperative Editing
Pirrelli Vito
Primo
;Nahli OuafaeSecondo
;Boschetti Federico;Del Gratta Riccardo;Marzi ClaudiaUltimo
2015
Abstract
Computer processing of written Arabic raises a number of challenges to traditional parsing architectures on many levels of linguistic analysis. In this contribution, we review some of these core issues and the demands they make, to suggest different strategies to successfully tackle them. In the end, we assess these issues in connection with the behaviour of neuro-biologically inspired lexical architectures known as Temporal Self-Organising Maps. We show that, far from being language-specific problems, issues in Arabic processing can shed light on some fundamental characteristics of the human language processor, such as structure-based lexical recoding, concurrent, competitive activation of output candidates and dynamic selection of optimal solutions.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Pirrelli Vito | en |
| dc.authority.people | Nahli Ouafae | en |
| dc.authority.people | Boschetti Federico | en |
| dc.authority.people | Del Gratta Riccardo | en |
| dc.authority.people | Marzi Claudia | en |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo 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 04:49:07 | - |
| dc.date.available | 2024/02/20 04:49:07 | - |
| dc.date.firstsubmission | 2024/09/26 17:18:00 | * |
| dc.date.issued | 2015 | - |
| dc.date.submission | 2024/09/26 17:18:00 | * |
| dc.description.abstracteng | Computer processing of written Arabic raises a number of challenges to traditional parsing architectures on many levels of linguistic analysis. In this contribution, we review some of these core issues and the demands they make, to suggest different strategies to successfully tackle them. In the end, we assess these issues in connection with the behaviour of neuro-biologically inspired lexical architectures known as Temporal Self-Organising Maps. We show that, far from being language-specific problems, issues in Arabic processing can shed light on some fundamental characteristics of the human language processor, such as structure-based lexical recoding, concurrent, competitive activation of output candidates and dynamic selection of optimal solutions. | - |
| dc.description.affiliations | Institute for Computational Linguistics - National Research Council | - |
| dc.description.allpeople | Pirrelli, Vito; Nahli, Ouafae; Boschetti, Federico; DEL GRATTA, Riccardo; Marzi, Claudia | - |
| dc.description.allpeopleoriginal | Pirrelli, Vito; Nahli, Ouafae; Boschetti, Federico; Del Gratta, Riccardo; Marzi, Claudia | en |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 5 | - |
| dc.identifier.doi | 10.1145/2802612.2802637 | en |
| dc.identifier.isbn | 978-1-4503-3295-8 | en |
| dc.identifier.scopus | 2-s2.0-84958689205 | en |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/293690 | - |
| dc.identifier.url | http://dl.acm.org/citation.cfm?id=2802612 | en |
| dc.language.iso | eng | en |
| dc.miur.last.status.update | 2024-10-11T12:11:41Z | * |
| dc.relation.alleditors | Francesca Tomasi, Roberto Rosselli Del Turco, Anna Maria Tammaro | en |
| dc.relation.conferencedate | 18-19/09/2014 | en |
| dc.relation.conferencename | Third AIUCD Annual Conference - Humanities and Their Methods in the Digital Ecosystem | en |
| dc.relation.conferenceplace | Bologna (IT) | en |
| dc.relation.firstpage | 1 | en |
| dc.relation.ispartofbook | Third AIUCD Annual Conference - Humanities and Their Methods in the Digital Ecosystem | en |
| dc.relation.lastpage | 8 | en |
| dc.relation.medium | ELETTRONICO | en |
| dc.relation.numberofpages | 8 | en |
| dc.subject.keywordseng | Non-concatenative morphology | - |
| dc.subject.keywordseng | Optical Character Recognition | - |
| dc.subject.keywordseng | WordNet | - |
| dc.subject.keywordseng | Temporal Self-organising Maps | - |
| dc.subject.keywordseng | Mental Lexicon | - |
| dc.subject.keywordseng | Language neuro-physiology | - |
| dc.subject.singlekeyword | Non-concatenative morphology | * |
| dc.subject.singlekeyword | Optical Character Recognition | * |
| dc.subject.singlekeyword | WordNet | * |
| dc.subject.singlekeyword | Temporal Self-organising Maps | * |
| dc.subject.singlekeyword | Mental Lexicon | * |
| dc.subject.singlekeyword | Language neuro-physiology | * |
| dc.title | Computational Linguistics and Language Physiology: Insights from Arabic NLP and Cooperative Editing | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.invited | contributo | en |
| dc.type.miur | 273 | - |
| dc.type.referee | Sì, ma tipo non specificato | en |
| dc.ugov.descaux1 | 333414 | - |
| iris.orcid.lastModifiedDate | 2024/11/29 15:16:14 | * |
| iris.orcid.lastModifiedMillisecond | 1732889774482 | * |
| iris.scopus.extIssued | 2015 | - |
| iris.scopus.extTitle | Computational linguistics and language physiology: Insights from Arabic nlp and cooperative editing | - |
| iris.scopus.ideLinkStatusDate | 2024/09/25 15:50:35 | * |
| iris.scopus.ideLinkStatusMillisecond | 1727272235698 | * |
| iris.sitodocente.maxattempts | 1 | - |
| iris.unpaywall.doi | 10.1145/2802612.2802637 | * |
| iris.unpaywall.isoa | false | * |
| iris.unpaywall.metadataCallLastModified | 02/12/2025 04:04:49 | - |
| iris.unpaywall.metadataCallLastModifiedMillisecond | 1764644689143 | - |
| iris.unpaywall.oastatus | closed | * |
| scopus.category | 1712 | * |
| scopus.category | 1709 | * |
| scopus.category | 1707 | * |
| scopus.category | 1705 | * |
| scopus.contributor.affiliation | Institute of Computational Linguistics A. Zampolli | - |
| scopus.contributor.affiliation | Institute of Computational Linguistics A. Zampolli | - |
| scopus.contributor.affiliation | Institute of Computational Linguistics A. Zampolli | - |
| scopus.contributor.affiliation | Institute of Computational Linguistics A. Zampolli | - |
| scopus.contributor.affiliation | Institute of Computational Linguistics A. Zampolli | - |
| scopus.contributor.afid | 60021199 | - |
| scopus.contributor.afid | 60021199 | - |
| scopus.contributor.afid | 60021199 | - |
| scopus.contributor.afid | 60021199 | - |
| scopus.contributor.afid | 60021199 | - |
| scopus.contributor.auid | 14833305800 | - |
| scopus.contributor.auid | 56741333300 | - |
| scopus.contributor.auid | 36081634700 | - |
| scopus.contributor.auid | 34976432900 | - |
| scopus.contributor.auid | 36621334800 | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.country | Italy | - |
| scopus.contributor.dptid | 109964314 | - |
| scopus.contributor.dptid | 109964314 | - |
| scopus.contributor.dptid | 109964314 | - |
| scopus.contributor.dptid | 109964314 | - |
| scopus.contributor.dptid | 109964314 | - |
| scopus.contributor.name | Vito | - |
| scopus.contributor.name | Ouafae | - |
| scopus.contributor.name | Federico | - |
| scopus.contributor.name | Riccardo Del | - |
| scopus.contributor.name | Claudia | - |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.subaffiliation | - | |
| scopus.contributor.surname | Pirrelli | - |
| scopus.contributor.surname | Nahli | - |
| scopus.contributor.surname | Boschetti | - |
| scopus.contributor.surname | Gratta | - |
| scopus.contributor.surname | Marzi | - |
| scopus.date.issued | 2015 | * |
| scopus.description.abstracteng | Computer processing of written Arabic raises a number of challenges to traditional parsing architectures on many levels of linguistic analysis. In this contribution, we review some of these core issues and the demands they make, to suggest different strategies to successfully tackle them. In the end, we assess these issues in connection with the behaviour of neuro-biologically inspired lexical architectures known as Temporal Self-Organising Maps. We show that, far from being language-specific problems, issues in Arabic processing can shed light on some fundamental characteristics of the human language processor, such as structure-based lexical recoding, concurrent, competitive activation of output candidates and dynamic selection of optimal solutions. | * |
| scopus.description.allpeopleoriginal | Pirrelli V.; Nahli O.; Boschetti F.; Gratta R.D.; Marzi C. | * |
| scopus.differences | scopus.relation.conferencename | * |
| scopus.differences | scopus.publisher.name | * |
| scopus.differences | scopus.subject.keywords | * |
| scopus.differences | scopus.relation.conferencedate | * |
| scopus.differences | scopus.identifier.isbn | * |
| scopus.differences | scopus.description.allpeopleoriginal | * |
| scopus.differences | scopus.relation.conferenceplace | * |
| scopus.differences | scopus.relation.volume | * |
| scopus.document.type | cp | * |
| scopus.document.types | cp | * |
| scopus.identifier.doi | 10.1145/2802612.2802637 | * |
| scopus.identifier.isbn | 9781450332958 | * |
| scopus.identifier.pui | 608564216 | * |
| scopus.identifier.scopus | 2-s2.0-84958689205 | * |
| scopus.journal.sourceid | 11600154611 | * |
| scopus.language.iso | eng | * |
| scopus.publisher.name | Association for Computing Machinery | * |
| scopus.relation.article | 12 | * |
| scopus.relation.conferencedate | 2015 | * |
| scopus.relation.conferencename | 3rd AIUCD Annual Conference on Humanities and Their Methods in the Digital Ecosystem, AIUCD 2014 | * |
| scopus.relation.conferenceplace | ita | * |
| scopus.relation.volume | 18-19- | * |
| scopus.subject.keywords | Language neuro-physiology; Mental Lexicon; Non-concatenative morphology; Optical Character Recognition; Temporal Self-organising Maps; WordNet; | * |
| scopus.title | Computational linguistics and language physiology: Insights from Arabic nlp and cooperative editing | * |
| scopus.titleeng | Computational linguistics and language physiology: Insights from Arabic nlp and cooperative editing | * |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
