Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2014)
Volume 11 (2013)
Volume 10 (2012)
Volume 9 (2011)
Volume 8 (2010)
Volume 7 (2009)
Volume 6 (2008)
Volume 5 (2007)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
A Useful Framework for Identification and Analysis of Different Query Expansion Approaches based on the Candidate Expansion Terms Extraction Methods

Mohammad Reza Keyvanpour; Zahra Karimi Zandian; Zahra Abdolhosseini

Volume 16, Issue 2 , July 2018

  Query expansion is a method for improving retrieval performance by supplementing an original query with additional terms. This process improves the quality of search engine results and helps users to find the required information. In the recent years, different methods have been proposed in this area. ...  Read More

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

fatemeh momenipour; mohammadreza keyvanpour

Volume 14, Issue 2 , July 2016

  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 ...  Read More

Creating Appropriate Corpus for Information Retrieval and Natural Language Processing in Persian Language

Zahra Abdolhosseini; Mohammad Reza Keyvanpour

Volume 13, Issue 2 , July 2015

  Persian natural language processing (NLP) researchers have many limitations to access linguistic tools which are suitable for text processing. Therefore, researchin Persian text processing is very limited. Since dataset is an important requirement for experiments and their evaluation, we aimed to create ...  Read More