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Stemming

Known as: Stemming algorithm, Word normalization, Porter Stemmer 
In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart cities. However, realizing the true… Expand
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Review
2019
Review
2019
ABSTRACT In recent years, augmented reality games (ARGs) such as Pokémon Go have become increasingly popular. These games not… Expand
Review
2018
Review
2018
ABSTRACT Mental health disorders (MHD) in elite athletes is a topic that has received increased attention in recent years. The… Expand
Review
2018
Review
2018
The training, maintenance, deployment, monitoring, organization and documentation of machine learning (ML) models – in short… Expand
Highly Cited
2013
Highly Cited
2013
Over the last 12 months, we have witnessed an unexpected breakthrough and rapid evolution in the field of emerging photovoltaics… Expand
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Highly Cited
2003
Highly Cited
2003
Over the past decade, there has been growing interest in local industrial agglomeration and specialization, not only by economic… Expand
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Highly Cited
2002
Highly Cited
2002
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stem… Expand
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Highly Cited
1997
Highly Cited
1997
When looking at a scene, observers feel that they see its entire structure in great detail and can immediately notice any changes… Expand
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Highly Cited
1981
Highly Cited
1981
The present experiment tested the hypothesis that self-motivation through proximal goal setting serves as an effective mechanism… Expand
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Highly Cited
1968
Highly Cited
1968
  • J. B. Lovins
  • Mech. Transl. Comput. Linguistics
  • 1968
  • Corpus ID: 16628689
A stemming algorithm, a procedure to reduce all words with the same stem to a common form, is useful in many areas of… Expand