StanfordNLP 0.2.0 – Python NLP Library for Many Human Languages | StanfordNLP

StanfordNLP 0.2.0 – Python NLP Library for Many Human Languages | StanfordNLP

StanfordNLP 0.2.0 – Python NLP Library for Many Human Languages | StanfordNLP

StanfordNLP is a Python natural language analysis package. 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, and to give a syntactic structure dependency parse, which is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. In addition, it is able to call the CoreNLP Java package and inherits additonal functionality from there, such as constituency parsing, coreference resolution, and linguistic pattern matching.

Source: stanfordnlp.github.io/stanfordnlp/

Subscribe to our Digest