4.7 - ACE/Analysis/helper_functions.py
def pos_tokenise(text):
    """
    Turns given text into tokens and PoS tags.
    """
    cleaned = clean_text(text)
    cleaned = re.sub(r"(\p{P})\p{P}*", r"\1 ", cleaned)
    
    doc = nlp(cleaned)
    return [{"tok": tok.text, "lemma":tok.lemma_, "pos": tok.pos_} for tok in doc]

    Turns given text into tokens and PoS tags.
    
Turns given text into tokens and PoS tags.
Turns given text into tokens and PoS tags .
def pos_tokenise(text):
    cleaned = clean_text(text)
    cleaned = re.sub(r"(\p{P})\p{P}*", r"\1 ", cleaned)
    doc = nlp(cleaned)
    return [{"tok": tok.text, "lemma":tok.lemma_, "pos": tok.pos_} for tok in doc]
def pos_tokenise ( text ) : cleaned = clean_text ( text ) cleaned = re . sub ( r"(\p{P})\p{P}*" , r"\1 " , cleaned ) doc = nlp ( cleaned ) return [ { "tok" : tok . text , "lemma" : tok . lemma_ , "pos" : tok . pos_ } for tok in doc ]
Turns given text into tokens and PoS tags.
Turns given text into tokens and PoS tags .
"""
    Turns given text into tokens and PoS tags.
    """
text