N_gram Frequency Python Ntlk

I want to write a function that returns the frequency of each element in the n-gram of a given text. Help please. I did this code fo counting frequency of 2-gram code: from nltk i

Solution 1:

I don't see an expected output section, hence I assume this is what might need.

import nltk

def compute_freq(sentence, n_value=2):

    tokens = nltk.word_tokenize(sentence)
    ngrams = nltk.ngrams(tokens, n_value)
    ngram_fdist = nltk.FreqDist(ngrams)
    return ngram_fdist

By default this function returns frequency distribution of bigrams - for example,

text = "This is an example sentence."
freq_dist = compute_freq(text)

Now, freq_dist would look like -

FreqDist({('is', 'an'): 1, ('example', 'sentence'): 1, ('an', 'example'): 1, ('This', 
'is'): 1, ('sentence', '.'): 1})

From here you can print the keys and values like so

for k,v in freq_dist.items():
    print(k, v) 

('is', 'an') 1
('example', 'sentence') 1
('an', 'example') 1
('This', 'is') 1
('sentence', '.') 1

For anything other that bigram, just change the 'n_value' argument when calling the function. For example,

freq_dist = compute_freq(text, n_value=3)#will give you trigram distribution

('example', 'sentence', '.') 1
('an', 'example', 'sentence') 1
('This', 'is', 'an') 1
('is', 'an', 'example') 1