Tuning Local Context Analysis for Farsi Documents

@article{Hakimian2007TuningLC,
  title={Tuning Local Context Analysis for Farsi Documents},
  author={Parsia Hakimian and Fattaneh Taghiyareh},
  journal={Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)},
  year={2007},
  pages={116-121}
}
Farsi language is one of the dominant languages in middle-east. A lot of work has been done on Farsi retrieval systems. Local context analysis is a query expansion method to improve retrieval performance. In this paper we have tried to tune LCA for Farsi language. We used Hamshahri collection and 60 queries to tune three parameters in LCA method which are number of concepts used for query expansion, number of initially retrieved documents for local feedback and number of passages for concept… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 22 REFERENCES

Assessment of a modern Farsi corpus

  • F. Oroumchian, E. Darrudi, M. R. Hejazi
  • Proceedings of The 2nd Workshop on Information…
  • 2004
1 Excerpt

An Evaluation of Farsi Retrieval Method

  • F. Mazhar Garamaleki
  • Msc Thesis, Department of Computer and Electrical…
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…