recognized words from text

[Santhanam Lakshmi]

We are performing analytics on the text we receive from our chat bots. I have a requirement to  analyze the sentence passed and segregate the recognized words and un-recognized words.  For example

Input text1 :   How do I pay my fees using biticon 

Input text 2 :  let's have  herbpasta for lunch 

The desired output would be

recognized words  : How ,do ,I ,pay ,my ,fees ,using,let's ,have,for ,lunch

un-recognized words  : Biticon,herbpasta

here we need to lookup each word against the dictionary and then categorize the words as recognized and un-recognized. 

The input text will be from multiple languages ( French,German etc ). 

Does GCP NLP API have this functionality 

Any points would be appreciated.