short backround: i try to enhance the spelling corrector by Peter Norvig in python. In this sense i need the occurrence of a sentence (up to 3-4 words)... The Ngram viewer from Google would help me a lot but i don't know how i get the value with an API or something else.
pseudocode:
# Sentence without meaning but word for word correct.
>> occurrence("were are you")
0.0000000978
# Sentence that makes sense
>> occurrence("where are you")
0.000148
# Then my method should return the sentence with the highest value. (But thats not the problem)
sorry for my english :-D Thank you!
They actually have an undocumented api.
import requests
import json
term = "where are you"
url =f"https://books.google.com/ngrams/json?content={term}&year_start=1800&year_end=2000&corpus=26&smoothing=3"
resp = requests.get(url)
if resp.ok:
results = json.loads(resp.content)
results[0]['timeseries'] has the frequencies you need:
[2.854326695000964e-07,
3.4926038665616944e-07,
3.3916604043800663e-07,
...]
Source: https://jameshfisher.com/2018/11/25/google-ngram-api/