How to get all stop words from Spacy and don't get any errors? TypeError: argument of type 'module' is not iterable

Question

How to get all stop words from spacy.lang.en and don't get any errors?

from spacy.lang.en import stop_words as stop_words


def tokenize(sentence):
    sentence = nlp(sentence)
    # lemmatizing
    sentence = [ word.lemma_.lower().strip() if word.lemma_ != "-PRON-" else word.lower_ for word in sentence ]
    # removing stop words
    sentence = [ word for word in sentence if word not in stop_words and word not in punctuations ]        
    return sentence

tokenize("Hallo ik ben leyla en ") and then i get 

Then I got the following error and This is the error that I got

TypeError: argument of type 'module' is not iterable

Answer 1

Make sure stop_words and punctuations be a list or set and for getting a set of all stop_words from from spacy.lang.en import stop_words you can use stop_words.STOP_WORDS or as an alternative solution you can use nlp.Defaults.stop_words.

import spacy
from string import punctuation
from spacy.lang.en import stop_words


nlp = spacy.load('en_core_web_sm')

stop_words = stop_words.STOP_WORDS
# print(stop_words)
# as an alternative solution
# stop_words = nlp.Defaults.stop_words


punctuations = list(punctuation)
print(punctuations)
# ['!', '"', '#', '$', '%', '&', "'", '(', ')', '*', '+', '', '', '-', '.', '/', ':', ';', '<', '=', '>', '?', '@', '[', '\\', ']', '^', '_', '`', '{', '|', '}', '~']


def tokenize(sentence):
    sentence = nlp(sentence)
    # lemmatizing
    sentence = [ word.lemma_.lower().strip() if word.lemma_ != "-PRON-" else word.lower_ for word in sentence ]
    # removing stop words
    sentence = [ word for word in sentence if word not in stop_words and word not in punctuations ]        
    return sentence

---

>>> tokenize("Hallo ik ben leyla en ")
['hallo', 'ik', 'ben', 'leyla', 'en']