amounts.rst

:mod:`lexnlp.extract.en.amounts`: Extracting amounts

The :mod:`lexnlp.extract.en.amounts` module contains methods that allow for the extraction of amounts from text. Sample amounts that are covered by this module include:

• THIRTY-SIX THOUSAND TWO-HUNDRED SIXTY-SIX AND 2/100
• total 2 million people
• total 2.035 billion tons of
• fifteen cats
• 20,000,000
• thirty-five million units
• 10K files
• 1 trill

The full list of current unit test cases can be found here: https://github.com/LexPredict/lexpredict-lexnlp/tree/master/test_data/lexnlp/extract/en/tests/test_amounts

.. currentmodule:: lexnlp.extract.en.amounts

Extracting amounts

.. autofunction:: get_amounts

Example

>>> import lexnlp.extract.en.amounts
>>> text = "There are ten cows in the dozen acre pasture."
>>> print(list(lexnlp.extract.en.amounts.get_amounts(text)))
[10, 12]

>>> text = "Twenty-seven days until the one-hundred and one dogs arrive."
>>> print(list(lexnlp.extract.en.amounts.get_amounts(text)))
[27, 101]

>>> text = "There are 10K documents."
>>> print(list(lexnlp.extract.en.amounts.get_amounts(text)))
[10000.0]

>>> text = "There is 10 trill Zimbabwean Paper Money for sale on eBay"
>>> print(list(lexnlp.extract.en.amounts.get_amounts(text)))
[10000000000000.0]

Converting text to numbers

.. autofunction:: text2num

Example

>>> import lexnlp.extract.en.amounts
>>> print(lexnlp.extract.en.amounts.text2num("seventy one"))
71
>>> print(lexnlp.extract.en.amounts.text2num("one billion and seventy"))
1000000070