[2003.07082] Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization, multi-word token expansion, lemmatization, part-of-speech and morphological feature tagging, dependency parsing, and named entity recognition. We
Stanford NLP Group | Software Summary
Software Summary The Stanford NLP Group produces and maintains a variety of software projects. Stanford CoreNLP is our Java toolkit which provides a wide variety of NLP tools. Stanza is a new Python NLP library which includes a multilingual neural NLP pipeline and an interface for working with Stanford CoreNLP in Python. The GloVe site has our code and data for (distributed, real vector, neural) w
Publications - The Stanford Natural Language Processing Group
Daniel Jurafsky. 2014. The Language of Food. W. W. Norton. Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008. Introduction to Information Retrieval. Cambridge University Press. Daniel Jurafsky and James H. Martin. 2008. Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics. 2nd edition. Prentice-Hall. C
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GitHub - stanfordnlp/stanza: Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
