Open AccessVBS Stemmer: A vocabulary-based stemmer
Author(s) -
Hamed Zakeri Rad,
Sabrina Tiun,
Saidah Saad
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.9192
Subject(s) - wordnet , computer science , natural language processing , vocabulary , artificial intelligence , lemmatisation , computational linguistics , relation (database) , information retrieval , linguistics , data mining , philosophy
Stemming is referred to a procedure of reducing all words appearing in different morphological variants to a common form. As a matter of fact, it is considered as a functional way in various areas of information-retrieval work and computational linguistics. In this paper, we introduced the Vocabulary Based Stemmer (VBS) as the alternative solution to the stemming problem for the applications which are based on the semantic relation between words or dictionary based and need valid words. The Vocabulary part of VBS stemmer is generated based on WordNet. To validate the VBS Stemmer, part of “Cranfield 1400” test collection being used, and the result shows significant improvements over the previous stemmers.