Normalize Currency in Stanford NLP not working as expected - stanford-nlp

Question

I am using Stanford CoreNLP for extraction. Below is the sentence from which am trying to extract currency along with the currency symbol
5 March 2015 Kering Issue of €500,000,000 0.875 per cent
The data that I need to extract is €500,000,000 0.875
NLP by default its giving sentence as
5 March 2015 Kering Issue of **$**500,000,000 0.875 per cent
So i wrote
public static readonly TokenizerFactory TokenizerFactory = PTBTokenizer.factory(new CoreLabelTokenFactory(),
"normalizeCurrency=false");
DocumentPreprocessor docPre = new DocumentPreprocessor(new java.io.StringReader(textChunk));
docPre.setTokenizerFactory(TokenizerFactory);
Now the sentence is coming properly as
5 March 2015 Kering Issue of €500,000,000 0.875 per cent
But when I do
props.put("annotators", "tokenize, cleanxml, ssplit, pos, lemma, ner, regexner");
props.setProperty("ner.useSUTime", "0");
_pipeline = new StanfordCoreNLP(props);
Annotation document = new Annotation(text);
_pipeline.annotate(document);
where text = 5 March 2015 Kering Issue of €500,000,000 0.875 per cent
am getting output as
<token id="9">
<word>$</word>
<lemma></lemma>
<CharacterOffsetBegin>48</CharacterOffsetBegin>
<CharacterOffsetEnd>49</CharacterOffsetEnd>
<POS>CD</POS>
<NER>MONEY</NER>
<NormalizedNER>$5.000000000875E9</NormalizedNER>
</token>
So I added the line props.put("tokenize.options", "normalizeCurrency=false");
But still the output is same with $5.000000000875E9
Can anybody Please help me. Thank you

Answer 1

When I ran this code it didn't change the currency symbol to "$":
package edu.stanford.nlp.examples;
import edu.stanford.nlp.ling.*;
import edu.stanford.nlp.pipeline.*;
import java.util.*;
public class TokenizeOptionsExample {
public static void main(String[] args) {
Annotation document = new Annotation("5 March 2015 Kering Issue of €500,000,000 0.875 per cent");
Properties props = new Properties();
props.setProperty("annotators", "tokenize,ssplit");
props.setProperty("tokenize.options", "normalizeCurrency=false");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
pipeline.annotate(document);
for (CoreLabel token : document.get(CoreAnnotations.TokensAnnotation.class)) {
System.out.println(token);
}
}
}