nltk.stem.RegexpStemmer¶

class nltk.stem.RegexpStemmer(regexp, min=0)[source]¶

A stemmer that uses regular expressions to identify morphological affixes. Any substrings that match the regular expressions will be removed.

>>> from nltk.stem import RegexpStemmer
>>> st = RegexpStemmer('ing$|s$|e$|able$', min=4)
>>> st.stem('cars')
'car'
>>> st.stem('mass')
'mas'
>>> st.stem('was')
'was'
>>> st.stem('bee')
'bee'
>>> st.stem('compute')
'comput'
>>> st.stem('advisable')
'advis'

Parameters:	regexp (str or regexp) – The regular expression that should be used to identify morphological affixes. min (int) – The minimum length of string to stem