Update README

README.md

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-PyTorch-NLP is a Natural Language Processing (NLP) toolkit designed to support rapid prototyping. First, it includes neural network modules and pre-trained word vectors (e.g. [FastText](http://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.word_to_vector.html#torchnlp.word_to_vector.FastText) and  [GloVe](http://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.word_to_vector.html#torchnlp.word_to_vector.GloVe)).
-Finally, it features **9 text encoders**, integration with **14 popular datasets**, and NLP related ``torch.utils.data.Sampler``s.
+PyTorch-NLP is a Natural Language Processing (NLP) toolkit designed to support rapid prototyping. First, it includes [neural network modules](https://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.nn.html) and pre-trained word vectors (e.g. [FastText](http://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.word_to_vector.html#torchnlp.word_to_vector.FastText) and  [GloVe](http://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.word_to_vector.html#torchnlp.word_to_vector.GloVe)).
+Finally, it features **9 text encoders**, **14 popular datasets** and NLP related ``torch.utils.data.Sampler``s.
 
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