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Comma Separated Values - 4.3 KB - MD5: 77dda5e538c3dcb05caccb25df1dd17e
Spanish-speaking participants' responses to the background questionnaire.
Adobe PDF - 2.1 MB - MD5: 4e572f08eaa5506026ff7ffe85fd4028
PDF output of the R Markdown script used to analyze participants' cross-language and second-language vowel categorization responses.
R Notebook - 91.2 KB - MD5: 05b4d05f16d0b13c88ec994d79de162b
R Markdown for the analysis of participants' cross-language and second-language vowel categorizations.
Adobe PDF - 912.1 KB - MD5: 472f9e6284140f82356af2de874c6d6d
PDF output of the R Markdown script used to generate cross-language vowel categorization predictions based on acoustic similarity models.
R Notebook - 81.9 KB - MD5: e9d4e3c0e923cfd586c4f4b44853d1f1
R Markdown for predicting cross-language acoustic similarity.
Plain Text - 17.9 KB - MD5: c09043cf7e6800de23f797a886236445
Documentation
text/r - 2.7 KB - MD5: 9d964af90a4c6436796c320dafc54cb8
Code
Shell Script - 1.4 KB - MD5: d0834ec485fec03e33a59a714b87a6b6
Code
text/r - 2.1 KB - MD5: 393bdcb6e3ff4f4507f56fb2e12342bd
Code
XML - 2.2 MB - MD5: 74a8f3df6e68303770d5527fbfc9c955
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