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The quality of translation resources is arguably the most important factor affecting the performance of a cross-language information retrieval system. While many investigations ha...
We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Interactive Cross-Language Information Retrieval (CLIR), a process in which searcher and system collaborate to find documents that satisfy an information need regardless of the la...
Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multi...
MNIS-TextWise Labs participated in the TREC-9 Chinese Cross-Language Information Retrieval track. The focus of our research for this participation has been on rapidly adding Chine...
Miguel E. Ruiz, Steve Rowe, Maurice Forrester, Par...
This report describes the English-Chinese crosslanguage retrieval experiments at Berkeley for TREC-9 Cross-Language Information Retrieval track. We present a simple and effective ...
In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of ps...
Yan Qu, Alla N. Eilerman, Hongming Jin, David A. E...
: We present an approach to using ontologies as interlingua in cross-language information retrieval in the medical domain. Our approach is based on using the Unified Medical Langu...
Recently, language barrier becomes the major problem for people to search, retrieve, and understand WWW documents in different languages. This paper deals with query translation i...