ai-content-maker/.venv/Lib/site-packages/nltk/test/bleu.doctest

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==========
BLEU tests
==========
>>> from nltk.translate import bleu
If the candidate has no alignment to any of the references, the BLEU score is 0.
>>> bleu(
... ['The candidate has no alignment to any of the references'.split()],
... 'John loves Mary'.split(),
... (1,),
... )
0
This is an implementation of the smoothing techniques
for segment-level BLEU scores that was presented in
Boxing Chen and Collin Cherry (2014) A Systematic Comparison of
Smoothing Techniques for Sentence-Level BLEU. In WMT14.
http://acl2014.org/acl2014/W14-33/pdf/W14-3346.pdf
>>> from nltk.translate.bleu_score import sentence_bleu,SmoothingFunction
>>> sentence_bleu(
... ['It is a place of quiet contemplation .'.split()],
... 'It is .'.split(),
... smoothing_function=SmoothingFunction().method4,
... )*100
4.4267...