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noobOriented avatar noobOriented commented on July 3, 2024 1

I think it is due to the default smoothing function.
Before nltk < 3.3 (released 2018.05.06), there was a bug in the SmoothingFunction().method0 (i.e. no smoothing),
which was the default smoothing function of sentence_bleu

That bug led to incorrect high values of BLEU for cases with no matched n-gram (common when n is high).

(See: nltk/nltk#1545)

Texygen uses SmoothingFunction().method1 by default: using 0.1 as the numerator in precision instead of 0 if there's no matched n-gram,
so it is unaffected by the bug regardless of NLTK version.

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Yaoming95 avatar Yaoming95 commented on July 3, 2024

What's your setting in the experiment? We use TF 1.4.
And how did you conduct BLEU evaluation? Do you use the evaluation program in the TexyGen?

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khorshidisamira avatar khorshidisamira commented on July 3, 2024

The BLEU score of LeakGAN is far lower than that reported in the paper.

How did you get the BLEU score?
Thanks

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