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https://github.com/robertsdionne/nlp


https://github.com/robertsdionne/nlp

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# nlp

Using [Torch7](http://torch.ch), we built a recurrent neural network part-of-speech tagger that used distributed word vectors as inputs. Our model outperformed a standard hidden Markov model and almost matched an HMM with human designed features. We designed the model, implemented the recurrent portions, tested against the part-of-speech tagging data set used in our earlier assignments and wrote a paper explaining our results.

Download our [paper](https://github.com/robertsdionne/nlp/raw/master/paper/paper.pdf).