# fraddress-parser
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](https://github.com/datamade/parserator) library.


## How to use fraddress
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')])
```

## Check trained patterns
Go to the training directory and check the file [trained_pattern.txt](https://github.com/fahrtass/fraddress-parser/blob/master/training/trained_pattern.txt) to see which pattern is already known by the model.


## How to train a new parser
All you need is some training data to teach your parser about its domain, and then [follow the instructions of the U.S version](https://github.com/datamade/usaddress/tree/master/training).



Library for parsing unstructured FR addresses strings into address components. 

Socket Acquires Coana to Bring Reachability Analysis to Every Appsec Team

fraddress

Library for parsing unstructured FR addresses strings into address components

fahrtass

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fraddress

fraddress-parser

How to use fraddress

Check trained patterns

How to train a new parser

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