The function helps filter out LUs of a metaphor that can be considered as conventional linguistic instances (cf. Vergara Wilson, 2014, for the way to determine CIC, which stands for "conventionalised instances of constructions").

get_cic_meta_lu(metaphor = NULL, df_ttr_out = NULL)

Arguments

metaphor

regular expressions for the relevant metaphor.

df_ttr_out

the tibble as the output of ttr.

Value

A tibble data frame

References

  • 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.

  • Vergara Wilson, D. (2014). Categorization and Constructional Change in Spanish Expressions of "becoming". Leiden: Brill.

Examples

ttr_metaphor <- ttr(df = phd_data_metaphor, schema_var = "metaphors", lexunit_var = "lu", float_digits = 2) get_cic_meta_lu("possessable", ttr_metaphor)
#> # A tibble: 13 x 4 #> Lexical_units Gloss N Perc_overall #> <chr> <chr> <int> <dbl> #> 1 *beri(kan)* to give 170 22.7 #> 2 *dapat(kan).v* to get 120 16.0 #> 3 *bawa(kan)* to bring 75 10.0 #> 4 *berbagi* to share 71 9.48 #> 5 *peroleh* to acquire/earn 43 5.74 #> 6 *miliki* to have/own 35 4.67 #> 7 *kehilangan* to lose 22 2.94 #> 8 *kembalikan* to give back; to return 20 2.67 #> 9 *datangkan* to bring sth.; to cause to come 16 2.14 #> 10 *hadirkan* to present sth. 15 2 #> 11 *bagi.pp* for sb. 14 1.87 #> 12 *punya* to have/own 13 1.74 #> 13 *bagi(kan).v* to share 12 1.6