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UT Signed Language Research Dataverse (University of Texas at Austin)
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Adobe PDF - 224.2 KB - MD5: 7807412b78c47eccd227763806919cc8
Protocols for all video annotation, from data selection to speech transcription/translation and gesture form coding.
Adobe PDF - 107.1 KB - MD5: 6dea69ac70050775f740ad3a55685592
R Syntax - 7.6 KB - MD5: 5eaf54bd4f8d26bd7664c10514c40de0
An R script for running the statistical analyses used in the study.
Comma Separated Values - 86.7 KB - MD5: e3a175e3a87743fe97d62b48b21d0d52
Annotations performed by the first author (Kate Mesh) and on which the statistical analysis was performed.
R Syntax - 3.0 KB - MD5: 0a51dede04cab2e4802d2a04dcc9607d
Comma Separated Values - 37.6 KB - MD5: f193b40357db37c180ca2f3004f63c74
R Syntax - 2.2 KB - MD5: 90ec9cdd14258cf7da10b71271187f5e
Comma Separated Values - 181.8 KB - MD5: f06e009521ced4a2753de840a6314d56
Adobe PDF - 163.5 KB - MD5: 866e7ac78e2ff2cfb5d10871a100d32b
Full annotation guidelines for the far-is-up study.
Adobe PDF - 2.4 MB - MD5: 69b7c036cba1c318feb24d5ae3130efa
Supplement the annotation guidelines for the far-is-up study, with images of prototypical gesture forms.
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