Supplementary Information for the paper "Different languages, similar encoding efficiency: comparable information rates across the human communicative niche"
These supplementary materials contain:
- the primary data as two TAB-separated CSV files:
InfoRateData.csv: contains most of the primary data as follows:- Speaker: the unique speaker IDs
- Language: the language code
- Text: the text ID
- Sex: the speaker's sex (F=female, M=male)
- Duration: the text's duration (in seconds)
- NS: the text's canonical number of syllables
- ShE: the language's Shannon Entropy
- ID: the language's Information Density
- Age: the speaker's age (in years)
AutomaticSylDetect.csv: contains the results of the automatic syllable detection algorithm, as follows:- soundname: the unique identifier of the soundfile (= a text produced by a given speaker in a given language)
- nsyll: the detected number of syllables
- npause: the number of detected pauses (longer than 150ms)
- dur: the total duration (in seconds)
- phonationtime: the duration of the actual phonation (in seconds)
- the full Rmarkdown analysis and plotting script
InfoRate.Rmd - the resulting HTML output
InfoRate.html