@Test
public void test() {

	Properties props = new Properties();
	props.setProperty("annotators", "tokenize,ssplit,pos,custom.lemma");
	props.setProperty("customAnnotatorClass.custom.lemma", "com.fancyerii.blog.stanfordnlp.CustomLemmaAnnotator");
	props.setProperty("custom.lemma.lemmaFile", "custom-lemmas.txt");
	// set up pipeline
	StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
	
	CoreDocument exampleDocument = new CoreDocument("Some many goods there.");
	// annotate document
	pipeline.annotate(exampleDocument);
	// access tokens from a CoreDocument
	// a token is represented by a CoreLabel
	List<CoreLabel> firstSentenceTokens = exampleDocument.sentences().get(0).tokens();
	// this for loop will print out all of the tokens and the character offset info
	for (CoreLabel token : firstSentenceTokens) {
		System.out.println(token.word()+"/"+token.getString(LemmaAnnotation.class) + "\t" + token.beginPosition() + "\t" + token.endPosition());
	}
}