minpair_fl(corpus_context, segment_pairs, relative_count_to_relevant_sounds=False, relative_count_to_whole_corpus=True, distinguish_homophones=False, environment_filter=None, prevent_normalization=False, stop_check=None, call_back=None)¶
Calculate the functional load of the contrast between two segments as a count of minimal pairs.
corpus_context : CorpusContext
Context manager for a corpus
segment_pairs : list of length-2 tuples of str
The pairs of segments to be conflated.
relative_count_to_relevant_sounds : bool, optional
If True, divide the number of minimal pairs by by the total number of words that contain either of the two segments. # changed the name of this from “relative_count” to “relative_count_to_relevant_sounds” # set its default to False above
relative_count_to_whole_corpus : bool, optional
If True, divide the number of minimal pairs by the total number of words in the corpus (regardless of whether those words contain the target sounds). Defaults to True.
distinguish_homophones : bool, optional
If False, then you’ll count sock~shock (sock=clothing) and sock~shock (sock=punch) as just one minimal pair; but if True, you’ll overcount alternative spellings of the same word, e.g. axel~actual and axle~actual. False is the value used by Wedel et al.
environment_filter : EnvironmentFilter
Allows the user to restrict the neutralization process to segments in particular segmental contexts
stop_check : callable, optional
Optional function to check whether to gracefully terminate early
call_back : callable, optional
Optional function to supply progress information during the function
tuple(int or float, list)
Tuple of: 0. if relative_count_to_relevant_sounds`==False and `relative_count_to_whole_corpus`==False, an int of the raw number of minimal pairs; if `relative_count_to_relevant_sounds`==True, a float of that count divided by the total number of words in the corpus that include either `s1 or s2; if `relative_count_to_whole_corpus`==True, a float of the raw count divided by the total number of words in the corpus; and 1. list of minimal pairs.