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...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.

DownSmith provides an intuitive editing experience with comprehensive formatting tools, syntax highlighting, live preview, table creation, spell checking, footnotes, HTML export, and intelligent image handling. Runs without Java being installed on Windows. On macOS and Linux requires Java 11 or better installed. A Java 8 version is provided that has all the functionality of the Java 11 version except footnotes.