An R package of helper functions to read/write/process data from the Kaytetye database (aname is Kaytetye for 'helpless'). The lexicon is stored in a backslash-coded .txt file as shown below (first 10 lines):

 1 \lx ahe |1
 2     \lx_id 1
 3     \sk ah
 4     \hm 1
 5     \audio ahe
 6     \ta Stirling 450
 7     \sl MT JG
 8     \ps n.
 9     \sn 1
10         \de fight, quarrel, dispute, squabble, trouble
...
...

The function read.KDB() processes this text file into a table:

library(anamR)
library(tidyr)

ps_df <- read.KDB("path/to/KDB.txt") %>%
            filter(tag == "ps")      %>%
            spread(tag, content)     %>%
            distinct(lx_id,
                     .keep_all = TRUE)

First 10 headwords and their parts of speech:

library(ggplot2)

ps_df %>%
  group_by(ps) %>%
  tally()      %>%
  ggplot(aes(x = ps, y = n)) +
  geom_bar(stat = "identity")

Looks like there's a whole lot of nouns!