HOW TO INTRODUCE STUDENTS TO LINGUISTIC RESEARCH USING VOYANT TOOLS

ABSTRACT This paper aims to demonstrate the productivity of using Voyant Tools (SINCLAIR; ROCKWELL, c2023) - a web environment for text analysis - for pedagogical purposes, especially in (future) lexical researchers training. To do so, we propose discussion rounds and practical activities which can be adapted to different target audiences, from basic education to graduate students. We hope this paper encourages new pedagogical uses of Voyant Tools and also guides teachers who want to introduce students to descriptive linguistic research or to use Voyant Tools as one of their pedagogical resources in classroom.

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Publication Details

Journal
Trabalhos em Linguística Aplicada
Published
2024-09-10
DOI
https://doi.org/10.1590/01031813v63320248644435
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
1.89
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article

HOW TO INTRODUCE STUDENTS TO LINGUISTIC RESEARCH USING VOYANT TOOLS

Guilherme Fromm, Joel Victor Reis Lisboa
1 citations
Trabalhos em Linguística Aplicada
Computational and Text Analysis Methods
1.89
article

HOW TO INTRODUCE STUDENTS TO LINGUISTIC RESEARCH USING VOYANT TOOLS

Guilherme Fromm, Joel Victor Reis Lisboa
article en
1 citations

Abstract

ABSTRACT This paper aims to demonstrate the productivity of using Voyant Tools (SINCLAIR; ROCKWELL, c2023) - a web environment for text analysis - for pedagogical purposes, especially in (future) lexical researchers training. To do so, we propose discussion rounds and practical activities which can be adapted to different target audiences, from basic education to graduate students. We hope this paper encourages new pedagogical uses of Voyant Tools and also guides teachers who want to introduce students to descriptive linguistic research or to use Voyant Tools as one of their pedagogical resources in classroom.

Trabalhos em Linguística AplicadaVol. 63(3)
Universidade Federal de Uberlândia (BR)
Quality Education
Openalex Percentile: Top 11%
Computational and Text Analysis Methods
1.89
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