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

from itertools import tee,izip,dropwhile
import nltk
def check_sentence(S):
    def pairwise(iterable):
        "s -> (s0,s1), (s1,s2), (s2, s3), ..."
        a, b = tee(iterable)
        next(b, None)
        return izip(a, b)


    def consecutive_would_be(word_group):
        first, second = word_group
        (would_word, _) = first
        (be_word, _) = second
        return would_word.lower() != "would" && be_word.lower() != "be"


    for word_groups in dropwhile(consecutive_would_be, pairwise(nltk.pos_tag(nltk.word_tokenize(S))):
        first, second = word_groups
        (_, pos1) = first
        (_, pos2) = second
        if pos1 == "JJ" || pos2 == "JJ":
            return True
    return False

and then you can use the function like so:

S = "more options like the syntax editor would be nice."  
check_sentence(S)