This function calls the script to output the top-10 metaphors that have high index of lexical creativity in their linguistic manifestation.
The lexical creativity is derived from the type-per-token ratio (TTR) measure (Rajeg, 2019, Chapter 6).
get_creative_metaphors(df_ttr_out = NULL, min_token = 3, top_n_limit = 10)
| df_ttr_out | the tibble as the output of |
|---|---|
| min_token | minimum token frequency of the metaphors. |
| top_n_limit | limit for presenting the top-n most lexically diverse metaphors. |
A tibble data frame.
Rajeg, G. P. W. (2019). Metaphorical profiles and near-synonyms: A corpus-based study of Indonesian words for HAPPINESS (PhD Thesis). Monash University. Melbourne, Australia. https://doi.org/10.26180/5cac231a97fb1.
# get the ttr table ttr_metaphor <- ttr(phd_data_metaphor, schema_var = "metaphors", lexunit_var = "lu", float_digits = 2) # get the lexically diverse metaphors get_creative_metaphors(df_ttr_out = ttr_metaphor, min_token = 3, top_n_limit = 10)#> # A tibble: 10 x 6 #> metaphors token type_lu perc_token perc_type_lu type_per_token_… #> <chr> <int> <int> <dbl> <dbl> <dbl> #> 1 happiness is a harmfu… 11 11 0.3 1.37 100 #> 2 happiness is drugs 6 6 0.16 0.75 100 #> 3 happiness is a moved … 4 4 0.11 0.5 100 #> 4 happiness is a treatm… 3 3 0.08 0.37 100 #> 5 happiness is an accom… 3 3 0.08 0.37 100 #> 6 happiness is being so… 9 8 0.25 1 88.9 #> 7 happiness is a resour… 8 7 0.22 0.87 87.5 #> 8 happiness is impedime… 6 5 0.16 0.62 83.3 #> 9 happiness is a deceiv… 20 16 0.55 1.99 80 #> 10 happiness is an adver… 24 19 0.66 2.36 79.2