Translate Russian to English text with Deep Learning AI in Python

Language translation is a great feature of Cloudmersive’s NLP API v2 — it can provide your application with the capacity to translate a few commonly spoken languages into English & back. In this article, we’ll quickly run through how you can implement Russian-to-English translation capabilities in Python via the /nlp-v2/translate/language/rus/to/eng iteration of the Cloudmersive NLP API v2.

To get started here, you’ll first need to copy & paste the below code to install the Python SDK:

pip install cloudmersive-nlp-api-client
from __future__ import print_function
import time
import cloudmersive_nlp_api_client
from cloudmersive_nlp_api_client.rest import ApiException
from pprint import pprint

After that, you’ll need to authorize your API key (acquired by making a free account on the Cloudmersive website) using the following code:

# Configure API key authorization: Apikey
configuration = cloudmersive_nlp_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'

Once the first two steps are done, all that’s left is copying in the callback function:

# 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 Russian to English text with Deep Learning AI
    api_response = api_instance.language_translation_translate_rus_to_eng(input)
    pprint(api_response)
except ApiException as e:
    print("Exception when calling LanguageTranslationApi->language_translation_translate_rus_to_eng: %s\n" % e)