Moving from an internal databank to a sharable multimodal corpus: the MulTeC case

Authors

DOI:

https://doi.org/10.23925/2318-7115.2019v40i1a8

Keywords:

Telecollaboration, teletandem, pedagogical corpus, MulTeC

Abstract

The amount of data produced during teletandem practice can be considered extensive. Since 2011, teletandem researchers at UNESP (Sao Paolo State University) at São José do Rio Preto have been worried about compiling and organizing the data from groups of Brazilian and American students who interact via internet tools to learn each other´s language. This paper aims at describing how the data generated from 2012-2015 and collected according to the procedures described by Aranha, Luvizari-Murad and Moreno (2015) were treated and transformed into Multimodal Teletandem Corpus (MulTeC).

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Author Biographies

Solange Aranha, Universidade Estadual Paulista "Júlio de Mesquita Filho"

Solange Aranha is Professor at the Modern Languages Department, State University of Sao Paulo campus of São José do Rio Preto, São Paulo, Brazil. She holds a PhD degree in Portuguese Language and Linguistics. Her main field of interest includes foreign language teaching, ESP, and genres. Her current research is on telecollaboration, foreign language teaching and learning, and genres. E-mail: solange.aranha@unesp.br

Queila Barbosa Lopes, Universidade Federal do Acre (Professora) Universidade Estadual Paulista "Júlio de MesquitaFilho" (Doutoranda)

Queila Barbosa Lopes is Professor at the Education, Language/Literature and Arts Department, Federal University of Acre, Acre, Brazil. She holds a PhD degree in Applied Linguistics and her main field of interest includes foreign language teaching and educational technology. Her current research is on telecollaboration and foreign language learning in digital environments. E-mail: queilalopes@gmail.com

References

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Published

2019-07-08

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