Abstract
Although advances in text analysis have helped researchers mine text data for semantic content and identify language patterns in text with greater facility, to date there is no tool available able to capture interactional features and patterns of talk. This talk introduces a new open source tool, Interactional Discourse Lab (IDLab), a programme developed using R, an open source statistical programming language. The tool is designed to map dynamics in spoken interaction and to represent them in easily accessible visual form, capturing aspects such as the frequency and patterning of exchanges, and the distribution of turns and discourse features. It is designed to contribute, with other analytical tools such as those used in corpus analysis, to the development of interactional topographies. The talk sets the tool within a wider case for the development of open source software in applied linguistics as a platform for methodological innovation
| Original language | English |
|---|---|
| Title of host publication | Research without Borders |
| Subtitle of host publication | New and Enduring Issues in Foreign Language Education |
| Editors | Nora Basurto Santos, Melba L. Cárdenas |
| Publisher | Universidad Nacional de Colombia |
| ISBN (Print) | 9786075024530 |
| Publication status | Published - 30 Sep 2016 |
Keywords
- interactional discourse lab
- interactional topography
- classroom interaction
- teacher talk