Automatic Cognate Detection (acd)

This module provides functions that can be used to evaluate how well algorithms perform in the task of automatic cognate detection.

Functions

bcubes(wordlist[, gold, test, modify_ref, ...])	Compute B-Cubed scores for test and reference datasets.
partial_bcubes(wordlist, gold, test[, pprint])	Compute B-Cubed scores for test and reference datasets for partial cognate detection.
pairs(lex[, gold, test, modify_ref, pprint, ...])	Compute pair scores for the evaluation of cognate detection algorithms.
diff(wordlist[, gold, test, modify_ref, ...])	Write differences in classifications on an item-basis to file.
npoint_ap(scores, cognates[, reverse])	Calculate the n-point average precision.
random_cognates(wordlist[, ref, bias])	Populate a wordlist with random cognates for each entry.
extreme_cognates(wordlist[, ref, bias])	Return extreme cognates, either lump all words together or split them.