Generating Ngrams (Unigrams,Bigrams etc) from a large corpus of .txt files and their Frequency

Question

I need to write a program in NLTK that breaks a corpus (a large collection of txt files) into unigrams, bigrams, trigrams, fourgrams and fivegrams. I have already written co

Answer 1

maybe it helps. see link

import spacy  
nlp_en = spacy.load("en_core_web_sm")
[x.text for x in doc]