ez-address-parser 0.2.1

An address parser for Canadian postal addresses

ez-address-parser

An address parser for Canadian postal addresses

Install

From PyPi

pip install ez-address-parser

From GitHub

pip install git+https://github.com/zehengl/ez-address-parser.git

Usage

Command Line

python -m ez_address_parser --address <some-address>

Code (with pretrained model)

from ez_address_parser import AddressParser

ap = AddressParser()

address = input("Address: ")
result = ap.parse(address)
for token, label in result:
    print(f"{token:20s} -> {label}")

Code (without pretrained model)

from ez_address_parser import AddressParser

ap = AddressParser(use_pretrained=False)

data = [
    [
        ('123', 'StreetNumber'),
        ('Main', 'StreetName'),
        ('St', 'StreetType'),
        ('E', 'StreetDirection')
    ],
    ...
] # list of list of (<token>, <label>) tuple

ap.train(data)

address = input("Address: ")
result = ap.parse(address)
for token, label in result:
    print(f"{token:20s} -> {label}")

Test

python setup.py test

Develop

pip install -r requirements-dev.txt

Annotation

python ez_address_annotator/data/convert.py
python ez_address_annotator/data/create_seed.py
label-studio start ez_address_annotator

label-studio provides an ease of use interface for name entity recognition. See the below example.

Pretrained Model

python ez_address_annotator/data/export.py
python create_pretrained_model.py

130 annotated addresses are used to train a default model that comes with this package.