Stanford University NLP researchers have built Stanza, a multi-human language tool kit. This is certainly worth a look for those working with text from many locales, such as social media. It contains support for running various accurate natural language processing tools on 60 languages and for accessing the Java Stanford CoreNLP software from Python. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The modules of Stanza are built on top of the PyTorch library. It is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.