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authorYuhao Zhang <zyh@stanford.edu>2019-01-29 22:38:51 +0300
committerYuhao Zhang <zyh@stanford.edu>2019-01-29 22:38:51 +0300
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# StanfordNLP: A Python NLP Library for Many Human Languages
-The Stanford NLP Group's official Python library. It contains packages for running our latest fully neural pipeline from the CoNLL 2018 Shared Task and for accessing the Java Stanford CoreNLP server. For detailed information please visit our [official website](https://stanfordnlp.github.io/stanfordnlp/).
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-[![Build Status](https://travis-ci.com/stanfordnlp/stanfordnlp.svg?token=RPNzRzNDQRoq2x3J2juj&branch=master)](https://travis-ci.com/stanfordnlp/stanfordnlp)
+[![Travis Status](https://travis-ci.com/stanfordnlp/stanfordnlp.svg?token=RPNzRzNDQRoq2x3J2juj&branch=master)](https://travis-ci.com/stanfordnlp/stanfordnlp)
[![PyPI version](https://img.shields.io/pypi/v/stanfordnlp.svg?colorB=blue)](https://pypi.org/project/stanfordnlp/)
+The Stanford NLP Group's official Python library. It contains packages for running our latest fully neural pipeline from the CoNLL 2018 Shared Task and for accessing the Java Stanford CoreNLP server. For detailed information please visit our [official website](https://stanfordnlp.github.io/stanfordnlp/).
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### References
If you use our neural pipeline including the tokenizer, the multi-word token expansion model, the lemmatizer, the POS/morphological features tagger, or the dependency parser in your research, please kindly cite our CoNLL 2018 Shared Task [system description paper](https://nlp.stanford.edu/pubs/qi2018universal.pdf):