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Update README.md
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hit-computer committed Apr 20, 2017
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Expand Up @@ -33,8 +33,6 @@ $ python generation.py

We randomly choose a set of words from trainingdata, `[u'FDA', u'menu']`. The training data is so small that we can't get a desired result, and a result sample show below:

```
Depp Calorie proposes the pregnancy END END PAD
```
>Depp Calorie proposes the pregnancy END END PAD
If you have large-scale dataset, I think you could get much better result.

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