Data-Driven Intonation Teaching

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Campo DC	Valore
dc.identifier	ECF_article_2949
dc.title	Data-Driven Intonation Teaching. An Overview and New Perspectives
dc.contributor.author	De Iacovo Valentina
dc.contributor.author	Romano Antonio
dc.publisher	Edizioni Ca’ Foscari - Digital Publishing, Fondazione Università Ca’ Foscari
dc.type	Articolo
dc.language.iso	en
dc.identifier.uri	http://edizionicafoscari.it/it/edizioni4/riviste/elle/2019/2/data-driven-intonation-teaching/
dc.description.abstract	Studies on the teaching of intonation are not new. They have actually represented an area of interest since the beginning of the 20th century (Jones 1909; Palmer 1922) up to the latest works by authors following different approaches such as Wells (2006), Canepari (2008), Busà (2012). More recently, there has been growing interest in computer assisted learning (Chun 1998, 2013) and applications in commercial products (Cazade 1999). In this contribution we provide a preliminary study which considers the degree of correlation between the intonation curves of L2 English learners and English native speakers in order to explore variation and to evaluate the potential proximity between different samples. The ultimate goal is to test a set of techniques designed to optimise a computer assisted program for second language intonation learning which have been developed for prosodic variation assessment (Cauvin 2017, De Iacovo 2019).
dc.relation.ispartof	EL.LE
dc.relation.ispartof	Vol. 8 \| Num. 2 \| Luglio 2019
dc.issued	2020-04-22
dc.dateAccepted	2019-11-02
dc.dateSubmitted	2019-09-02
dc.identifier.issn
dc.identifier.eissn	2280-6792
dc.rights	Creative Commons Attribution 4.0 International Public License
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.identifier.doi	10.30687/ELLE/2280-6792/2019/02/008
dc.peer-review	yes
dc.subject	Computer-assisted language learning, Italian and E
dc.subject	Computer-assisted language learning, Italian and E

Articolo
open access peer reviewed

An Overview and New Perspectives

Valentina De Iacovo Università degli Studi di Torino

Antonio Romano Università degli Studi di Torino, Italia

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abstract

Studies on the teaching of intonation are not new. They have actually represented an area of interest since the beginning of the 20th century (Jones 1909; Palmer 1922) up to the latest works by authors following different approaches such as Wells (2006), Canepari (2008), Busà (2012). More recently, there has been growing interest in computer assisted learning (Chun 1998, 2013) and applications in commercial products (Cazade 1999). In this contribution we provide a preliminary study which considers the degree of correlation between the intonation curves of L2 English learners and English native speakers in order to explore variation and to evaluate the potential proximity between different samples. The ultimate goal is to test a set of techniques designed to optimise a computer assisted program for second language intonation learning which have been developed for prosodic variation assessment (Cauvin 2017, De Iacovo 2019).

Pubblicato

22 Aprile 2020

Accettato

02 Novembre 2019

Presentato

02 Settembre 2019

Lingua

Keywords: Computer-assisted language learning, Italian and E

permalink http://doi.org/10.30687/ELLE/2280-6792/2019/02/008

Copyright: © 2019 Valentina De Iacovo, Antonio Romano. This is an open-access work distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction is permitted, provided that the original author(s) and the copyright owner(s) are credited and that the original publication is cited, in accordance with accepted academic practice. The license allows for commercial use. No use, distribution or reproduction is permitted which does not comply with these terms.

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