gender identification in natural language processing

Question

I have written below code using stanford nlp packages.

GenderAnnotator myGenderAnnotation = new GenderAnnotator();
myGenderAnnotation.annotate(annotation);
         


        

Answer 1

If your named entity recognizer outputs PERSON for a token, you might use (or build if you don't have one) a gender classifier based on first names. As an example, see the Gender Identification section from the NLTK library tutorial pages. They use the following features:

• Last letter of name.
• First letter of name.
• Length of name (number of characters).
• Character unigram presence (boolean whether a character is in the name).

Though, I have a hunch that using character n-gram frequency---possibly up to character trigrams---will give you pretty good results.