CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 6 languages, Arabic, Chinese, English, French, German, and Spanish. The centerpiece of CoreNLP is the pipeline. Pipelines take in raw text, run a series of NLP annotators on the text, and produce a final set of annotations. Pipelines produce CoreDocuments, data objects that contain all of the annotation information, accessible with a simple API, and serializable to a Google Protocol Buffer. CoreNLP generates a variety of linguistic annotations, including parts of speech, named entities, dependency parses, and coreference.
Features
- CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, etc.
- You can use Stanford CoreNLP from the command-line, via its original Java programmatic API, via the object-oriented simple API
- There are many ways to run a CoreNLP pipeline
- Download model jars for the language you want to work on and move the jars to the distribution directory
- Stanford CoreNLP is written in Java; recent releases require Java 1.8+
- You can interact with CoreNLP via the command-line or its web service