match POS tag and sequence of words

Question

I have the following two strings with their POS tags:

Sent1: \"something like how writer pro or phraseology works would be really cool.\"<

Answer 1

Check StackOverflow Link

from nltk.tokenize import word_tokenize
def would_be(tagged):
    return any(['would', 'be', 'JJ'] == [tagged[i][0], tagged[i+1][0], tagged[i+2][1]] for i in xrange(len(tagged) - 2))

S = "more options like the syntax editor would be nice."  
pos = nltk.pos_tag(word_tokenize(S)) 
would_be(pos)   

Also check code

from nltk.tokenize import word_tokenize
import nltk
def checkTag(S):
    pos = nltk.pos_tag(word_tokenize(S))
    flag = 0
    for tag in pos:
        if tag[1] == 'JJ':
            flag = 1
    if flag:
        for ind,tag in enumerate(pos):
            if tag[0] == 'would' and pos[ind+1][0] == 'be':
                    return True
        return False
    return False

S = "something like how writer pro or phraseology works would be really cool."
print checkTag(S)