How to translate French to English Text in Python using Deep Learning AI

There are a lot of potential difficulties when it comes to computerized language translations. Older approaches are very complex, difficult to implement, and not very accurate. Deep Learning has a clear advantage in reducing the overall coding necessary, as well as incredible accuracy. However, the training required to create such an AI is very difficult to set as well as requiring weeks of training time with even bleeding edge hardware at your disposal. But don’t fret; I have a solution for you that will allow you to harness this power with but a few minutes of actual effort required on your part.

We will be using an API for this procedure, so let’s install the client for that.

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

And now it’s time to call our translation function, which will access our Deep Learning AI.

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.LanguageTranslationApi(cloudmersive_nlp_api_client.ApiClient(configuration))
input = cloudmersive_nlp_api_client.LanguageTranslationRequest() # LanguageTranslationRequest | Input translation request
try:
# Translate French to English text with Deep Learning AI
api_response = api_instance.language_translation_translate_fra_to_eng(input)
pprint(api_response)
except ApiException as e:
print("Exception when calling LanguageTranslationApi->language_translation_translate_fra_to_eng: %s\n" % e)

And that’s it! Yup, you now have cutting edge translations at your beck and call.