Metrics
1,361,605 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 94,660 Results
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.
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
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.