lexnlp.extract.en.amounts
: Extracting amounts¶
The 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
Extracting 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¶
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