Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to the linguistic profiling methodology, which focuses on the internal parts of a text. A case study is presented showing that it is possible to model the degree of variance within texts representative of four traditional genres and two levels of complexity for each.

Lost in text. A cross-genre analysis of linguistic phenomena within text

Brunato D;Dell'Orletta F
2019

Abstract

Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to the linguistic profiling methodology, which focuses on the internal parts of a text. A case study is presented showing that it is possible to model the degree of variance within texts representative of four traditional genres and two levels of complexity for each.
Campo DC Valore Lingua
dc.authority.anceserie CEUR WORKSHOP PROCEEDINGS -
dc.authority.anceserie CEUR Workshop Proceedings -
dc.authority.people Buongiovanni C it
dc.authority.people Gracci F it
dc.authority.people Brunato D it
dc.authority.people Dell'Orletta F it
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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 03:01:18 -
dc.date.available 2024/02/20 03:01:18 -
dc.date.issued 2019 -
dc.description.abstracteng Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to the linguistic profiling methodology, which focuses on the internal parts of a text. A case study is presented showing that it is possible to model the degree of variance within texts representative of four traditional genres and two levels of complexity for each. -
dc.description.affiliations University of Pisa, University of Pisa, Italy; Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC-CNR), Italy; -
dc.description.allpeople Buongiovanni C.; Gracci F.; Brunato D.; Dell'Orletta F. -
dc.description.allpeopleoriginal Buongiovanni C.; Gracci F.; Brunato D.; Dell'Orletta F. -
dc.description.fulltext none en
dc.description.numberofauthors 2 -
dc.identifier.isbn 9791280136008 -
dc.identifier.scopus 2-s2.0-85074846816 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/390429 -
dc.identifier.url http://www.scopus.com/record/display.url?eid=2-s2.0-85074846816&origin=inward -
dc.language.iso eng -
dc.relation.conferencedate 13-15/11/2019 -
dc.relation.conferencename 6th Italian Conference on Computational Linguistics (CLiC-it) -
dc.relation.conferenceplace Bari -
dc.relation.volume 2481 -
dc.subject.keywords linguistic profiling -
dc.subject.singlekeyword linguistic profiling *
dc.title Lost in text. A cross-genre analysis of linguistic phenomena within text en
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dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 434845 -
iris.orcid.lastModifiedDate 2024/03/20 08:51:26 *
iris.orcid.lastModifiedMillisecond 1710921086749 *
iris.scopus.extIssued 2019 -
iris.scopus.extTitle Lost in text. A cross-genre analysis of linguistic phenomena within text -
iris.sitodocente.maxattempts 1 -
scopus.authority.anceserie CEUR WORKSHOP PROCEEDINGS###1613-0073 *
scopus.category 1700 *
scopus.contributor.affiliation University of Pisa -
scopus.contributor.affiliation University of Pisa -
scopus.contributor.affiliation ItaliaNLP Lab -
scopus.contributor.affiliation ItaliaNLP Lab -
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scopus.contributor.auid 55237740200 -
scopus.contributor.auid 57540567000 -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.dptid -
scopus.contributor.dptid -
scopus.contributor.dptid 114087935 -
scopus.contributor.dptid 114087935 -
scopus.contributor.name Chiara -
scopus.contributor.name Francesco -
scopus.contributor.name Dominique -
scopus.contributor.name Felice -
scopus.contributor.subaffiliation -
scopus.contributor.subaffiliation -
scopus.contributor.subaffiliation Istituto di Linguistica Computazionale “Antonio Zampolli” (ILC–CNR); -
scopus.contributor.subaffiliation Istituto di Linguistica Computazionale “Antonio Zampolli” (ILC–CNR); -
scopus.contributor.surname Buongiovanni -
scopus.contributor.surname Gracci -
scopus.contributor.surname Brunato -
scopus.contributor.surname Dell’Orletta -
scopus.date.issued 2019 *
scopus.description.abstracteng Moving from the assumption that formal, rather than content features, can be used to detect differences and similarities among textual genres and registers, this paper presents a new approach to the linguistic profiling methodology, which focuses on the internal parts of a text. A case study is presented showing that it is possible to model the degree of variance within texts representative of four traditional genres and two levels of complexity for each.1 *
scopus.description.allpeopleoriginal Buongiovanni C.; Gracci F.; Brunato D.; Dell'Orletta F. *
scopus.differences scopus.relation.conferencename *
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scopus.differences scopus.relation.conferencedate *
scopus.differences scopus.description.abstracteng *
scopus.differences scopus.relation.conferenceplace *
scopus.document.type cp *
scopus.document.types cp *
scopus.funding.funders 501100006084 - Aeronautical Development Agency; 501100009888 - Regione Toscana; *
scopus.identifier.pui 629833039 *
scopus.identifier.scopus 2-s2.0-85074846816 *
scopus.journal.sourceid 21100218356 *
scopus.language.iso eng *
scopus.publisher.name CEUR-WS *
scopus.relation.conferencedate 2019 *
scopus.relation.conferencename 6th Italian Conference on Computational Linguistics, CLiC-it 2019 *
scopus.relation.conferenceplace ita *
scopus.relation.volume 2481 *
scopus.title Lost in text. A cross-genre analysis of linguistic phenomena within text *
scopus.titleeng Lost in text. A cross-genre analysis of linguistic phenomena within text *
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