Stemming - Wikipedia, the free encyclopedia
In linguistic morphology, stemming is the process for reducing inflected (or sometimes derived) words to their stem, base or root form – generally a written word form.
Lemmatisation - Wikipedia, the free encyclopedia
The word "better" has "good" as its lemma, but this is missed by stemming. The word "walk" is the base form for word "walking", and hence this is matched in both stemming and ...
stemming - Hutchinson encyclopedia article about stemming
Main supporting axis of a plant that bears the leaves, buds, and reproductive structures; it may be simple or branched. The plant stem usually grows above ground, although some ...
stemming - Definition of stemming at YourDictionary.com
noun. the main upward-growing axis of a plant, having nodes and bearing leaves, usually extending in a direction opposite to that of the root and above the ground, and serving to ...
Porter Stemming Algorithm
The Porter Stemming Algorithm This page was completely revised Jan 2006. The earlier edition is here. This is the ‘official’ home page for distribution of the Porter Stemming ...
ptstemmer - Google Code
PTStemmer - A Java stemming toolkit for the Portuguese language FEATURES. Java implementation of Orengo and Porter stemmers ; Stopword and named entity removal
Oleander Stemming Library
Stemming is a normalization process used to reduce words down to their root. Stemming removes inflectional suffixes so that morphological variants of the same word can be compared ...
What is Stemming?
Information Retrieval. Information Retrieval (IR) is essentially a matter of deciding which documents in a collection should be retrieved to satisfy a user's need for information.
stemming - definition of stemming in the Medical dictionary - by the ...
stem (stem) a supporting structure comparable to the stalk of a plant. brain stem brainstem; see under B. stem (st m) n. A supporting structure resembling the stalk of a plant.
Snowball: A language for stemming algorithms
M.F. Porter October 2001 Summary Algorithmic stemmers continue to have great utility in IR, despite the promise of out-performance by dictionary-based stemmers.
