--- /dev/null
+# Nit wrapper for Stanford CoreNLP
+
+Stanford CoreNLP provides a set of natural language analysis tools which can take
+raw text input and give the base forms of words, their parts of speech, whether
+they are names of companies, people, etc., normalize dates, times, and numeric
+quantities, and mark up the structure of sentences in terms of phrases and word
+dependencies, indicate which noun phrases refer to the same entities, indicate
+sentiment, etc.
+
+This wrapper needs the Stanford CoreNLP jars that run on Java 1.8+.
+
+See http://nlp.stanford.edu/software/corenlp.shtml.
+
+## Usage
+
+~~~nitish
+var proc = new NLPProcessor("path/to/StanfordCoreNLP/jars")
+
+var doc = proc.process("String to analyze")
+
+for sentence in doc.sentences do
+ for token in sentence.tokens do
+ print "{token.lemma}: {token.pos}"
+ end
+end
+~~~
+
+## Nit API
+
+For ease of use, this wrapper introduce a Nit model to handle CoreNLP XML results.
+
+### NLPDocument
+
+[[doc: NLPDocument]]
+
+[[doc: NLPDocument::from_xml]]
+[[doc: NLPDocument::from_xml_file]]
+[[doc: NLPDocument::sentences]]
+
+### NLPSentence
+
+[[doc: NLPSentence]]
+
+[[doc: NLPSentence::tokens]]
+
+### NLPToken
+
+[[doc: NLPToken]]
+
+[[doc: NLPToken::word]]
+[[doc: NLPToken::lemma]]
+[[doc: NLPToken::pos]]
+
+### NLP Processor
+
+[[doc: NLPProcessor]]
+
+[[doc: NLPProcessor::java_cp]]
+
+[[doc: NLPProcessor::process]]
+[[doc: NLPProcessor::process_file]]
+[[doc: NLPProcessor::process_files]]
+
+## Vector Space Model
+
+[[doc: NLPVector]]
+
+[[doc: NLPDocument::vector]]
+
+[[doc: NLPVector::cosine_similarity]]
+
+## NitNLP binary
+
+The `nitnlp` binary is given as an example of NitNLP client.
+It compares two strings and display ther cosine similarity value.
+
+Usage:
+
+~~~raw
+nitnlp --cp "/path/to/jars" "sort" "Sorting array data"
+0.577
+~~~
+
+## TODO
+
+* Use JWrapper
+* Use options to choose CoreNLP analyzers
+* Analyze sentences dependencies
+* Analyze sentiment