N-gram and Local Context Analysis for Persian text retrieval

  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},
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
Highly Cited
This paper has 37 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
22 Citations
14 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 22 extracted citations


Publications referenced by this paper.
Showing 1-10 of 14 references


  • F. Oroumchian
  • Darrudi & M.R. Hejazi, “Assessment of a modern…
  • 2004
Highly Influential
4 Excerpts


  • A. Singhal
  • Buckley, M.Mitra. “Pivoted Document Length…
  • 1996
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…