improve first last name split by using language specific rules

[chrished]

For example for spanish we currently have:

firstname : juan
lastname : gonzalez
middlename : eugenio iglesias

However, the main last name is iglesias (the first last name)

Proposal: use https://nationalize.io to predict which country/language a name is from and implement specific rules for those.

Caveat: For spanish names, sometimes people give just the first lastname and sometimes both. So it is not obvious how to handle it automatically

[f-hafner]

more generally, improve gender assignment

• use census data? https://github.com/bhofstra/diversity_innovation_paradox. they also have some more things on ethnicity which may complement nationalize.io.

moreover, from #21:

• firstnames may be only one letter -> we can use a dictionary-syle lookup of the full name, based on the names from genderize we have, and the census names too.
• for any given linked subsample, we can use the first name in the other dataset if it is spelled out