Hi, If you are looking for a fuzzy solution, you can find it here https://github.com/sholiday/genderPredictor This should suit your purpose. It uses nltk package for predicting, but as Kenneth said, it won't be 100% perfect. You can expect 80-90% success.
Hope this helps. Thanks, Anoop atm ___ Life is short, Live it hard. On 25 January 2012 15:20, kenneth gonsalves <law...@thenilgiris.com> wrote: > On Wed, 2012-01-25 at 09:49 +0100, Demetrio Girardi wrote: > > How can I go about this? Is there a publicly available database of > > first names divided by language and gender? A public web-service that > > guesstimates the gender? > > not possible in my opinion. There may be some languages where a name > *has* to have gender specific suffix. All the languages I know do not. > Maria, Rama, Krishna, for example are not gender specific. > -- > regards > Kenneth Gonsalves > > -- > You received this message because you are subscribed to the Google Groups > "Django users" group. > To post to this group, send email to django-users@googlegroups.com. > To unsubscribe from this group, send email to > django-users+unsubscr...@googlegroups.com. > For more options, visit this group at > http://groups.google.com/group/django-users?hl=en. > > -- You received this message because you are subscribed to the Google Groups "Django users" group. To post to this group, send email to django-users@googlegroups.com. To unsubscribe from this group, send email to django-users+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/django-users?hl=en.
