This documentation is for version 2.0.dev, which is not released yet.
Compute B-Cubed scores for test and reference datasets.
Parameters : | lex : lingpy.compare.lexstat.LexStat
gold : str (default=’cogid’)
test : str (default=’lexstatid’)
loans : bool (default=True)
pprint : bool (default=True)
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Returns : | t : tuple
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Notes
B-Cubed scores were first described by Bagga1998 as part of an algorithm. Later on, Amigo2009 showed that they can also used as to compare cluster decisions. Hauer2011 applied the B-Cubed scores first to the task of automatic cognate detection.