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).
2018
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Inglese
Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC 2018)
4540
4549
979-10-95546-00-9
http://www.lrec-conf.org/proceedings/lrec2018/pdf/1109.pdf
European Language Resources Association ELRA
Paris
FRANCIA
Sì, ma tipo non specificato
7-12 maggio 2018
Miyazaki (Japan)
Linguistic Knowledge Extraction
Dependency Treebanks
Linguistic Typology
4
none
Alzetta, Chiara; Dell'Orletta, Felice; Montemagni, Simonetta; Venturi, Giulia
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::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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