nltk.pk()¶

nltk.pk(ref, hyp, k=None, boundary='1')[source]¶

Compute the Pk metric for a pair of segmentations A segmentation is any sequence over a vocabulary of two items (e.g. “0”, “1”), where the specified boundary value is used to mark the edge of a segmentation.

>>> '%.2f' % pk('0100'*100, '1'*400, 2)
'0.50'
>>> '%.2f' % pk('0100'*100, '0'*400, 2)
'0.50'
>>> '%.2f' % pk('0100'*100, '0100'*100, 2)
'0.00'

Parameters:	ref (str or list) – the reference segmentation hyp (str or list) – the segmentation to evaluate k – window size, if None, set to half of the average reference segment length boundary (str or int or bool) – boundary value
Return type:	float