Azdegar NLP provides an advanced and high level API for natural language processing on top of Stanford CoreNLP library.

Significient features:

1. Transforms raw text into main and subclauses.
2. Recognizes tense, voice and person of clauses.
3. Recognizes subject, object, verbs and adverbs as parts of sentences.
4. Fixes POS tagger bugs. Example: This plane lands in Tehran. CoreNLP mistakenly recognizes lands as a plural noun (NNS), while it should be recognized as a verb (VBZ).
5. Fixes lemmatizer bugs.
6. Adds ontology through implementing OntologyRepository interface.
7. Allows defining word combinations through implementing MultiWordRepository interface. Example: Georg Wilhelm Friedrich Hegel or theory of types
8. Allows defining phrasal verbs.

Usage

Properties properties = new Properties();
MaxentTagger tagger = new MaxentTagger("english-caseless-left3words-distsim.tagger", properties);
ParserGrammar grammar = LexicalizedParser.loadModel("englishPCFG.caseless.ser.gz");

Parser parser = new Parser(tagger, grammar);
MultiWordRepository multiWordRepository = new FarzanegiMultiWordRepository();

parser.setMultiWordRepository(multiWordRepository);
    
Map phrasalVerbs = new TreeMap();
phrasalVerbs.put("break", new TreeSet(Arrays.asList("in", "up", "out")));
phrasalVerbs.put("look", new TreeSet(Arrays.asList("after", "for", "into","out")));
        ... 
parser.setPhrasalVerbs(phrasalVerbs);
Map<Integer, Clause> clauses = parser.parse(text, null);