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

Autor: Solange Aranha, Queila Barbosa Lopes
Rok vydání: 2019
Předmět:
Zdroj: The Especialist. 40
ISSN: 2318-7115
0102-7077
DOI: 10.23925/2318-7115.2019v40i1a8
Popis: 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).
Databáze: OpenAIRE