How to find Spelling Corrections for a Word in Python with NLP

I don’t think anybody really wants to deal with manually setting up a spell correction system. That’s fine, because I have a lovely API that will be able to give us exactly this functionality with a bare minimum of effort required.

Pip install will get us started with out client installation:

pip install git+https://github.com/Cloudmersive/Cloudmersive.APIClient.Python.NLP.git

Now we just need to set up spell_check_correct_json, which is going to take in a word as a string and provide a list of different spelling suggestions. This is going to look a bit like this:

from __future__ import print_function
import time
import cloudmersive_nlp_api_client
from cloudmersive_nlp_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_nlp_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'
# create an instance of the API class
api_instance = cloudmersive_nlp_api_client.SpellCheckApi(cloudmersive_nlp_api_client.ApiClient(configuration))
value = 'value_example' # str | Input string
try:
# Find spelling corrections
api_response = api_instance.spell_check_correct_json(value)
pprint(api_response)
except ApiException as e:
print("Exception when calling SpellCheckApi->spell_check_correct_json: %s\n" % e)

Done!