Package nltk :: Package stem

Package stem

Interfaces used to remove morphological affixes from words, leaving only the word stem. Stemming algorithms aim to remove those affixes required for eg. grammatical role, tense, derivational morphology leaving only the stem of the word. This is a difficult problem due to irregular words (eg. common verbs in English), complicated morphological rules, and part-of-speech and sense ambiguities (eg. ceil- is not the stem of ceiling).

StemmerI defines a standard interface for stemmers.

Submodules

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nltk.stem.api
nltk.stem.isri: ISRI Arabic Stemmer
nltk.stem.lancaster: A word stemmer based on the Lancaster stemming algorithm.
nltk.stem.porter: Porter Stemming Algorithm
nltk.stem.regexp
nltk.stem.rslp
nltk.stem.snowball: Snowball stemmers and appendant demo function
nltk.stem.snowball2: Snowball stemmers and appendant demo function
nltk.stem.wordnet

Classes

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RegexpStemmer
A stemmer that uses regular expressions to identify morphological affixes.

LancasterStemmer

ISRIStemmer
ISRI Arabic stemmer based on algorithm: Arabic Stemming without a root dictionary.

WordNetLemmatizer
A lemmatizer that uses WordNet's built-in morphy function.

RSLPStemmer
A stemmer for Portuguese.

StemmerI
A processing interface for removing morphological affixes from words.

PorterStemmer
A word stemmer based on the original Porter stemming algorithm.

SnowballStemmer
A word stemmer based on the Snowball stemming algorithms.

Variables

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stopwords = <WordListCorpusReader in '.../corpora/stopwords' (...

Variables Details

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stopwords

Value:

<WordListCorpusReader in '.../corpora/stopwords' (not loaded yet)>