fraddress is a python library for parsing unstructured FR addresses strings into address components using a custom NLP model that learns from patterns. This library relies on the parserator library.
Install fraddress with pip.
pip install fraddress
Then parse some address with parse or tag.
>>> import fraddress
>>> fraddress.parse('51 rue Nationale Paris 75006')
[('51', 'AddressNumber'), ('rue', 'StreetType'), ('Nationale', 'StreetName'), ('Paris', 'City'), ('75006', 'Zipcode')]
>>> fraddress.tag('51 rue Nationale Paris 75006')
OrderedDict([('AddressNumber', '51'), ('StreetType', 'rue'), ('StreetName', 'Nationale'), ('City', 'Paris'), ('Zipcode', '75006')])
Go to the training directory and check the file trained_pattern.txt to see which pattern is already known by the model.
All you need is some training data to teach your parser about its domain, and then follow the instructions of the U.S version.
FAQs
Library for parsing unstructured FR addresses strings into address components
We found that fraddress demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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