SmallSmallQiu

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It was changed, but it didn't work

![image](https://user-images.githubusercontent.com/44115671/69937247-2eafef80-1515-11ea-942e-f436a554c819.png) You need to find the Java library file in your environment

![1573559874(1)](https://user-images.githubusercontent.com/44115671/68670320-9e226700-0587-11ea-93d6-a3eb742ad4ea.png)

I have tried to match a generated description with the same tag in five sentences into the calculation, and the result is similar

> Do you always get cider score close to 3? Yes, cider can easily score above 3 or even higher. I've tried using different libraries for the same data to...

> Do you always get cider score close to 3? One scored 1.58, the other 2.93, and the data was made up of 10 copies. The training model and the...

> Do you always get cider score close to 3? I also made the data score when each batch of training was 400, as shown in the figure below。 One...

> The ciderD in my package was not changed. For sanity check, use CiderD(df='corpus') to define CiderD_scorer, because that's what is used in nlgeval https://github.com/Maluuba/nlg-eval#important-note Ok, thanks for your reply....