N-gram and Local Context Analysis for Persian text retrieval

@article{AleAhmad2007NgramAL,
  title={N-gram and Local Context Analysis for Persian text retrieval},
  author={Abolfazl AleAhmad and Parsia Hakimian and Farzad Mahdikhani and Farhad Oroumchian},
  journal={2007 9th International Symposium on Signal Processing and Its Applications},
  year={2007},
  pages={1-4}
}
The Persian language is one of the languages in Middle-East, so there are significant amount of Persian documents available on the Web. But there are relatively few studies on retrieval of Persian documents in the literature. In this experimental study, we assessed term and N-gram based vector space model and a query expansion method, namely, local context analysis using different weighting schemes on a realistic corpus containing 160000+ news articles. Then we compared our results with… CONTINUE READING
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