Multilingual writers’ writing processes: graph-theory based visualisation of formulaic sequences and fluency patterns
Key words: keystroke logging, learner language, university level, subsequent interview
The material comprises of texts (incl. productions and processes) collected in the KISUVI project (2022–2026), funded by the Kone Foundation, using the GenoGraphiX-LOG (GGXLog) keystroke logging software. The material also includes visualisations of the texts, as well as stimulated recall interviews. The project focuses on the study of writing fluency in first (L1) and foreign (L2) languages, particularly the production and use of formulaic sequences.
The material includes texts written in 1–3 languages by 126 multilingual writers. In addition, the L2 texts (N = 177) have been assessed according to the Common European Framework of Reference for Languages (CEFR, A1–C2), and some of them are also accompanied by stimulated recall interviews (N = 140). The data can be used for qualitative (e.g. NVivo) and quantitative analyses.
Details about the resource
- language: Finnish, English, French, German, Swedish and a few texts in Spanish, Estonian and Japanese
- form: written language, video, transcriptions
- genre: interviews, transcriptions,university-level argumentative texts in L1 and L2
- size: 12 groups of data in varying sizes. The resource contains 1–3 texts in different languages written by 126 multilingual writers. In addition, the L2 texts (N = 177) have been assessed according to the Common European Framework of Reference for Languages (A1–C2), and there are also subsequent interviews available for some of them (N = 140).
- timescale: 2021–2023
| Maarit Mutta | project's PI |
| Päivi Laine | researcher |
| Mari Mäkilä | researcher |
| Anne-Maj Åberg | researcher |
| Sinikka Lahtinen | member of steering group |
The resource is available by contacting the contact person(s)
Contact person(s)
| Maarit Mutta | maamut *at* utu.fi |
| Päivi Laine | paipel *at* utu.fi |
Other notices
The data is anonymised and pseudonymised. The origins of the writers cannot be identified.
Reference instructions
Mutta, M., Laine, P., Mäkilä, M., Åberg, A.-M. & Lahtinen, S. Data collected by the KISUVI project. Funded by the Kone Foundation (2022–2026).