Information retrieval: A new multilingual stemmer based on a statistical approach

@article{Gadri2015InformationRA,
  title={Information retrieval: A new multilingual stemmer based on a statistical approach},
  author={Said Gadri and A. Moussaoui},
  journal={2015 3rd International Conference on Control, Engineering \& Information Technology (CEIT)},
  year={2015},
  pages={1-6}
}
  • Said Gadri, A. Moussaoui
  • Published 2015
  • Computer Science
  • 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)
Stemming is a technique used to reduce inflected and derived words to their basic forms (stem or root). It is a very important step of pre-processing in text mining, and generally used in many areas of research such as: Natural language Processing NLP, Text Categorization TC, Text Summarizing TS, Information Retrieval IR, and other tasks in text mining. Stemming is frequently useful in text categorization to reduce the size of terms vocabulary, and in information retrieval to improve the search… Expand
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