Generational differences in the low tones of Black Lahu

We investigate apparent-time tone variation in the Black Lahu language (Loloish/Ngwi, Tibeto-Burman) of Yunnan, China. These are the supplementary materials for the paper "Generational differences in the low tones of Black Lahu," accepted for publication in Linguistics Vanguard. 

Appendices: 

• Appendix A: Wordlist (organized by order of appearance in the story)
• Appendix B: Wordless picture book
• Appendix C: Cross-tabulation tables
• Appendix D: F0 trajectory plots by speaker
• Appendix E: LME model results for T45

Script files contained in the analysis: 

• F0_estimation.praat is the Praat script used for F0 estimation on the wav + Textgrid pairs
• Combine_Speaker_Files.R is used to combine the Praat script output for individual speakers into a single csv file.
• Data_processing.R is the main processing script, works on an Excel csv file that contains the output of the Combine_Speaker_Files.R script 
• Plotting_Fig1_Lahu_tones.R plots the F0 trajectories of all the tones of Lahu, averaged across all the speakers, works on an Excel csv file that contains the output of the F0 estimation.praat script. 
• Plotting_Fig2_age_groups.R plots the F0 trajectories of T2 and T7, in 15-age groups, works on an Excel csv file that contains the output of the Data_processing.R script. 
• Plotting_Fig3and6_carryover. R plots the F0 trajectories of T2, T7 and T4 when they occur after silence or Tones 1-7 in three age groups; works on an Excel csv file that contains the output of the Data_processing.R script. 
• Plotting_Fig4578_scatterplot.R plots the scatterplots of F0 onset versus Age, works on an Excel csv file that contains the output of the Data_processing.R script. 

Data files contained in this analysis: 

• praat_raw_data.csv is the output of the F0_estimation.praat script. Contains the raw data from all speakers.
• Speaker_info.csv is the demographic data for each speaker
• data_forplotting.csv is the output of the Data_processing.R script. Contains the filtered tokens, normalized for length and converted to speaker-specific semitones. Used to plot Figure 2, Figure 3 and Figure 6
• data_forRbrul.csv is the output of the Data_processing.R script, the F0 onset and F0 offset for Tones 2, 4, and 7. Used to do linear mixed effects modeling in the Rbrul interface (Johnson 2009).