Experiments with English-Persian text retrieval

Authors:
Abolfazl AleAhmad;Hadi Amiri;Masoud Rahgozar;Farhad Oroumchian
Affiliations:
University of Tehran, Tehran, Iran;University of Tehran, Tehran, Iran;University of Tehran, Tehran, Iran;University of Wollongong in Dubai, Dubai, Uae
Venue:
Proceedings of the 2nd ACM workshop on Improving non english web searching
Year:
2008

Citing 6
Cited 0

A survey of multilingual text retrieval

A survey of multilingual text retrieval
The effects of query structure and dictionary setups in dictionary-based cross-language information retrieval

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
How reliable are the results of large-scale information retrieval experiments?

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic structured query methods

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Experiments with persian text compression for web

Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
FuFaIR: a Fuzzy Farsi Information Retrieval System

AICCSA '06 Proceedings of the IEEE International Conference on Computer Systems and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

As the number of non-English documents is increasing dramatically on the web nowadays, the study and design of information retrieval systems for these languages is very important. The Persian language is the official language of Iran, Afghanistan and Tajikistan and is also spoken in some other countries in the Middle East, so there are significant amount of Persian documents available on the web. In this study, we will present and compare our English-Persian cross language text retrieval experiments on Hamshahri text collection. Also, we will present Combinatorial Translation Probability (CTP) calculation method for query translation that estimates translation probabilities based on the collection itself.