Cross-Language Information Retrieval Using Multiple Resources and Combinations for Query Expansion

2002 ◽  
pp. 114-122
Author(s):  
Fatiha Sadat ◽  
Masatoshi Yoshikawa ◽  
Shunsuke Uemura
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Multiple Resources ◽  
Cross Language Information Retrieval ◽  
Cross Language

A study of user profile representation for personalized cross-language information retrieval

2016 ◽  
Vol 68 (4) ◽  
pp. 448-477 ◽  
Author(s):  
Dong Zhou ◽  
Séamus Lawless ◽  
Xuan Wu ◽  
Wenyu Zhao ◽  
Jianxun Liu
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
User Profile ◽  
User Profiles ◽  
Content Type ◽  
Cross Language Information Retrieval ◽  
Cross Lingual ◽  
Cross Language ◽  
Representation Techniques ◽  
Comprehensive Study

Purpose – With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion. Design/methodology/approach – The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods. Findings – Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level. Originality/value – Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.

Cross Language Information Retrieval using Multilingual Ontology as Translation and Query Expansion Base (pp. 13-16)

Polibits ◽  
2009 ◽  
Vol 40 ◽  
pp. 13-16 ◽  
Author(s):  
Mustafa Abusalah ◽  
John Tait ◽  
Michael Oakes
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Cross Language Information Retrieval ◽  
Cross Language

scholarly journals Cross Language Information Retrieval using Selective Documents Technique and Query Expansion

Helix ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. 4480-4483
Author(s):  
Avinash J. Agrawal
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Cross Language Information Retrieval ◽  
Cross Language

Phrasal translation and query expansion techniques for cross-language information retrieval

1997 ◽  
Vol 31 (SI) ◽  
pp. 84-91 ◽  
Author(s):  
Lisa Ballesteros ◽  
W. Bruce Croft
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Cross Language Information Retrieval ◽  
Cross Language
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