Update README

PetrochukM · Apr 9, 2018 · f8d3d7f · f8d3d7f
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 PyTorch-NLP is a Natural Language Processing (NLP) toolkit designed to support rapid prototyping. It includes common [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.
+Finally, it features **9 text encoders**, **14 popular datasets** and NLP ``torch.utils.data.Sampler``s.
 
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