The paper presents a new methodology aimed at acquiring typological evidence from "gold" treebanks for different languages. In particular, it investigates whether and to what extent algorithms developed for assessing the plausibility of automatically produced syntactic annotations could contribute to shed light on key issues of the linguistic typological literature. It reports the first and promising results of a case study focusing on word order patterns carried out on three different languages (English, Italian and Spanish).

Universal Dependencies and Quantitative Typological Trends. A Case Study on Word Order

Chiara Alzetta;Felice Dell'Orletta;Simonetta Montemagni;Giulia Venturi
2018

Abstract

The paper presents a new methodology aimed at acquiring typological evidence from "gold" treebanks for different languages. In particular, it investigates whether and to what extent algorithms developed for assessing the plausibility of automatically produced syntactic annotations could contribute to shed light on key issues of the linguistic typological literature. It reports the first and promising results of a case study focusing on word order patterns carried out on three different languages (English, Italian and Spanish).
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Chiara Alzetta it
dc.authority.people Felice Dell'Orletta it
dc.authority.people Simonetta Montemagni it
dc.authority.people Giulia Venturi it
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 2024/02/18 05:03:35 -
dc.date.available 2024/02/18 05:03:35 -
dc.date.issued 2018 -
dc.description.abstracteng The paper presents a new methodology aimed at acquiring typological evidence from "gold" treebanks for different languages. In particular, it investigates whether and to what extent algorithms developed for assessing the plausibility of automatically produced syntactic annotations could contribute to shed light on key issues of the linguistic typological literature. It reports the first and promising results of a case study focusing on word order patterns carried out on three different languages (English, Italian and Spanish). -
dc.description.affiliations Università di Genova; Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC-CNR) -
dc.description.allpeople Alzetta, Chiara; Dell'Orletta, Felice; Montemagni, Simonetta; Venturi, Giulia -
dc.description.allpeopleoriginal Chiara Alzetta, Felice Dell'Orletta, Simonetta Montemagni, Giulia Venturi -
dc.description.fulltext none en
dc.description.numberofauthors 4 -
dc.identifier.isbn 979-10-95546-00-9 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/374901 -
dc.identifier.url http://www.lrec-conf.org/proceedings/lrec2018/pdf/1109.pdf -
dc.language.iso eng -
dc.publisher.country FRA -
dc.publisher.name European Language Resources Association ELRA -
dc.publisher.place Paris -
dc.relation.conferencedate 7-12 maggio 2018 -
dc.relation.conferencename Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC 2018) -
dc.relation.conferenceplace Miyazaki (Japan) -
dc.relation.firstpage 4540 -
dc.relation.lastpage 4549 -
dc.subject.keywords Linguistic Knowledge Extraction -
dc.subject.keywords Dependency Treebanks -
dc.subject.keywords Linguistic Typology -
dc.subject.singlekeyword Linguistic Knowledge Extraction *
dc.subject.singlekeyword Dependency Treebanks *
dc.subject.singlekeyword Linguistic Typology *
dc.title Universal Dependencies and Quantitative Typological Trends. A Case Study on Word Order 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.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 385342 -
iris.orcid.lastModifiedDate 2024/04/04 20:12:30 *
iris.orcid.lastModifiedMillisecond 1712254350387 *
iris.sitodocente.maxattempts 11 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/374901
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