Add dpar and go2vec.
Add two project to the Natural Language Processing section: * dpar, a transition-based dependency parser. * go2vec, a reader for word2vec embeddings.
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@ -544,9 +544,11 @@ See [go-hardware](https://github.com/rakyll/go-hardware) for a comprehensive lis
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*Libraries for working with human languages.*
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* [dpar](https://github.com/danieldk/dpar/) - Transition-based statistical dependency parser.
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* [go-eco](https://code.google.com/p/go-eco/) - Similarity, dissimilarity and distance matrices; diversity, equitability and inequality measures; species richness estimators; coenocline models.
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* [go-nlp](https://github.com/nuance/go-nlp) - Utilities for working with discrete probability distributions and other tools useful for doing NLP work.
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* [go-stem](https://github.com/agonopol/go-stem) - Implementation of the porter stemming algorithm.
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* [go2vec](https://github.com/danieldk/go2vec) - Reader and utility functions for word2vec embeddings.
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* [golibstemmer](https://github.com/rjohnsondev/golibstemmer) - Go bindings for the snowball libstemmer library including porter 2
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* [gounidecode](https://github.com/fiam/gounidecode) - Unicode transliterator (also known as unidecode) for Go
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* [icu](https://github.com/goodsign/icu) - Cgo binding for icu4c C library detection and conversion functions. Guaranteed compatibility with version 50.1.
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