35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
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# Natural Language Toolkit: Stemmers
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#
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# Copyright (C) 2001-2023 NLTK Project
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# Author: Trevor Cohn <tacohn@cs.mu.oz.au>
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# Edward Loper <edloper@gmail.com>
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# Steven Bird <stevenbird1@gmail.com>
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# URL: <https://www.nltk.org/>
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# For license information, see LICENSE.TXT
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"""
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NLTK Stemmers
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Interfaces used to remove morphological affixes from words, leaving
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only the word stem. Stemming algorithms aim to remove those affixes
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required for eg. grammatical role, tense, derivational morphology
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leaving only the stem of the word. This is a difficult problem due to
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irregular words (eg. common verbs in English), complicated
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morphological rules, and part-of-speech and sense ambiguities
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(eg. ``ceil-`` is not the stem of ``ceiling``).
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StemmerI defines a standard interface for stemmers.
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"""
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from nltk.stem.api import StemmerI
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from nltk.stem.arlstem import ARLSTem
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from nltk.stem.arlstem2 import ARLSTem2
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from nltk.stem.cistem import Cistem
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from nltk.stem.isri import ISRIStemmer
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from nltk.stem.lancaster import LancasterStemmer
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from nltk.stem.porter import PorterStemmer
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from nltk.stem.regexp import RegexpStemmer
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from nltk.stem.rslp import RSLPStemmer
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from nltk.stem.snowball import SnowballStemmer
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from nltk.stem.wordnet import WordNetLemmatizer
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