from nltk.stem.porter import PorterStemmer
stemmer = PorterStemmer()
singles = [stemmer.stem(w) for w in plurals]
# 'caresses' -> 'caress', 'flies' -> 'fli', 'meeting' -> 'meet'

from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
lemmatizer.lemmatize("rocks")            # "rock"
lemmatizer.lemmatize("better", pos="a")  # "good"

def normalize(sentence):
    sentence = re.sub("[إأآا]", "ا", sentence)
    sentence = re.sub("ى", "ي", sentence)
    sentence = re.sub("ؤ", "ء", sentence)
    sentence = re.sub("ئ", "ء", sentence)
    sentence = re.sub("ة", "ه", sentence)
    return sentence

def removing_ar_stopwords(text):
    words = word_tokenize(text)
    return " ".join(w for w in words if w not in stopwords)

from nltk import ISRIStemmer
st = ISRIStemmer()
stemmed = " ".join(st.stem(w) for w in word_tokenize(text))

from tashaphyne.stemming import ArabicLightStemmer
ArListem = ArabicLightStemmer()
ArListem.light_stem(word)
stem = ArListem.get_stem()

cleared = [removing_ar_stopwords(h) for h in hadiths]
cleared = [normalize(h) for h in cleared]
cleared = [stemming_1(h) for h in cleared]  # ISRIStemmer