nltk.stem.regexp module

class nltk.stem.regexp.RegexpStemmer

Bases: StemmerI

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

__init__(regexp, min=0)

stem(word)

Strip affixes from the token and return the stem.

Parameters:

token (str) – The token that should be stemmed.