PHMM: Stemming on Persian Texts using Statistical Stemmer Based on Hidden Markov ModelPHMM: Stemming on Persian Texts using Statistical Stemmer Based on Hidden Markov Model
Stemming is the process of finding the main morpheme of a word andit is used in natural language processing, text mining and informationretrieval systems. A stemmer extracts the stem of the words. We can classifyPersian stemmers in to three main classes: structural stemmers, dictionarybased stemmers...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Regional Information Center for Science and Technology (RICeST)
2016-07-01
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| Series: | International Journal of Information Science and Management |
| Online Access: | https://ijism.ricest.ac.ir/index.php/ijism/article/view/539 |