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

it seem you would just search consecutive tags for "would" followed by "be" and then for the first instance of tag "JJ". Something like this:

import nltk

def has_would_be_adj(S):
    # make pos tags
    pos = nltk.pos_tag(S.split())
    # Search consecutive tags for "would", "be"
    j = None  # index of found "would"
    for i, (x, y) in enumerate(zip(pos[:-1], pos[1:])):
        if x[0] == "would" and y[0] == "be":
            j = i
            break
    if j is None or len(pos) < j + 2:
        return False
    a = None  # index of found adjective
    for i, (word, tag) in enumerate(pos[j + 2:]):
        if tag == "JJ":
            a = i+j+2 #
            break
    if a is None:
        return False
    print("Found adjective {} at {}", pos[a], a)
    return True

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

I'm sure this could be written compacter and cleaner but it does what it says on the box :)