An inflectional stemmerAn inflectional stemmer takes inflected words, such as 'stemmer', 'stemming', or 'stemmed', and converts them to their root, 'stem'.
Applying an inflectional stemmer allows all instances of a given word to be recognized within the text regardless of the suffix (-er, -ed and -ing in the above examples). Without the inflectional stemmer, these instances would be treated as separate words, rather than as derivations of the same word.
As the inflectional stemmer is reliant on suffixes to identify inflected words, it will not identify instances such as irregular verb forms: 'am', 'are' and 'is' will not be recognized as conjugations of the verb 'to be'. It is nevertheless useful for reducing the need to manually match up inflected variations within a text.
For more information, please see the Stanford NLP Group's guide to stemming and lemmatization and the Wikipedia entries for word stems and inflection.
Return to Glossary. takes inflected words, such as 'stemmer', 'stemming', or 'stemmed', and converts them to their root, 'stem'.
Applying an inflectional stemmerAn inflectional stemmer takes inflected words, such as 'stemmer', 'stemming', or 'stemmed', and converts them to their root, 'stem'.
Applying an inflectional stemmer allows all instances of a given word to be recognized within the text regardless of the suffix (-er, -ed and -ing in the above examples). Without the inflectional stemmer, these instances would be treated as separate words, rather than as derivations of the same word.
As the inflectional stemmer is reliant on suffixes to identify inflected words, it will not identify instances such as irregular verb forms: 'am', 'are' and 'is' will not be recognized as conjugations of the verb 'to be'. It is nevertheless useful for reducing the need to manually match up inflected variations within a text.
For more information, please see the Stanford NLP Group's guide to stemming and lemmatization and the Wikipedia entries for word stems and inflection.
Return to Glossary. allows all instances of a given word to be recognized within the text regardless of the suffix (-er, -ed and -ing in the above examples). Without the inflectional stemmerAn inflectional stemmer takes inflected words, such as 'stemmer', 'stemming', or 'stemmed', and converts them to their root, 'stem'.
Applying an inflectional stemmer allows all instances of a given word to be recognized within the text regardless of the suffix (-er, -ed and -ing in the above examples). Without the inflectional stemmer, these instances would be treated as separate words, rather than as derivations of the same word.
As the inflectional stemmer is reliant on suffixes to identify inflected words, it will not identify instances such as irregular verb forms: 'am', 'are' and 'is' will not be recognized as conjugations of the verb 'to be'. It is nevertheless useful for reducing the need to manually match up inflected variations within a text.
For more information, please see the Stanford NLP Group's guide to stemming and lemmatization and the Wikipedia entries for word stems and inflection.
Return to Glossary., these instances would be treated as separate words, rather than as derivations of the same word.
As the inflectional stemmerAn inflectional stemmer takes inflected words, such as 'stemmer', 'stemming', or 'stemmed', and converts them to their root, 'stem'.
Applying an inflectional stemmer allows all instances of a given word to be recognized within the text regardless of the suffix (-er, -ed and -ing in the above examples). Without the inflectional stemmer, these instances would be treated as separate words, rather than as derivations of the same word.
As the inflectional stemmer is reliant on suffixes to identify inflected words, it will not identify instances such as irregular verb forms: 'am', 'are' and 'is' will not be recognized as conjugations of the verb 'to be'. It is nevertheless useful for reducing the need to manually match up inflected variations within a text.
For more information, please see the Stanford NLP Group's guide to stemming and lemmatization and the Wikipedia entries for word stems and inflection.
Return to Glossary. is reliant on suffixes to identify inflected words, it will not identify instances such as irregular verb forms: 'am', 'are' and 'is' will not be recognized as conjugations of the verb 'to be'. It is nevertheless useful for reducing the need to manually match up inflected variations within a text.