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Nov 7, 2026 - Talk Together Study - Language Mixing
Chua, Y. H. Victoria; Lei, Pan; Styles, Suzy J, 2026, "How do we capture parents’ multilingual speech with their kids: An exploratory comparison of self-reported and speech-based metrics of translanguaging", https://doi.org/10.21979/N9/QKG3CQ, DR-NTU (Data), V1, UNF:6:uzdYNNmkWoo0YIL/04sl9A== [fileUNF]
Multilingual analysis toolkit and replication data for 'How do we capture parents’ multilingual speech with their kids: An exploratory comparison of self-reported and speech-based metrics of translanguaging' |
Tabular Data - 15.9 KB - 5 Variables, 121 Observations - UNF:6:dlxz5PNrFKYugLRdE2LNCA==
This data dictionary file contains all information of what each column heading means in each of the spreadsheets in the zipped folders. |
Plain Text - 7.1 KB -
MD5: a4ad8f0411447cc73417e2edbd658e6d
README |
Python Source Code - 13.8 KB -
MD5: 0bb76fa40bc01e6a6fa8a90db0f1fb12
Python script for computing translanguaging measures in the associated paper |
Python Source Code - 2.8 KB -
MD5: 8ceb1ddde6eb0f38a125e1416f4726c8
Python script that preprocesses and rebadges BELA transcripts in batches |
Python Source Code - 9.0 KB -
MD5: af4d883790740b2aca7776c333c8bddb
Python script that plots language use visualisations from language annotations derived from transcripts |
ZIP Archive - 166 B -
MD5: 405285013f951f587370d571734856b5
This contains generated language-use visualizations from lang_mix_plots.py |
Python Source Code - 8.5 KB -
MD5: 50d070b1ed97e5ac86b1571307674604
Python script that contains functions for preprocessing and rebadging BELA transcripts for analysis |
Tabular Data - 2.8 KB - 45 Variables, 1 Observations - UNF:6:6cY2O6MGEtZeZMliU2e7CA==
Sample of summary data extracted from compute_metrics.py |
Tabular Data - 2.1 KB - 9 Variables, 28 Observations - UNF:6:WB2oOtFvt63fmfB2IgcH+Q==
Sample of rebadged transcript upon rebadging |
