Cross-language information retrieval (CLIR) is an active sub-domain of information retrieval
(IR). Like IR, CLIR is centered on the search for documents and for information contained …

Search for information is no longer exclusively limited within the native language of the user,
but is more and more extended to other languages. This gives rise to the problem of cross …

A common limitation of many retrieval models, including the recently proposed axiomatic
approaches, is that retrieval scores are solely based on exact (ie, syntactic) matching of …

在基于语义的查询扩展中, 为了找到描述查询需求语义的相关概念, 词语-概念相关度的计算是
语义查询扩展中的关键一步. 针对词语-概念相关度的计算, 提出一种K2CM (keyword to concept …

Bilingual dictionaries have been commonly used for query translation in cross-language
information retrieval (CLIR). However, we are faced with the problem of translation selection …

Finding a proper distribution of translation probabilities is one of the most important factors
impacting the effectiveness of a cross-language information retrieval system. In this paper …

The popularity of XML has exacerbated the need for an easy-to-use, high precision query
interface for XML data. When traditional document-oriented keyword search techniques do …

With the worldwide growth of the Internet, research on Cross-Language Information
Retrieval (CLIR) is being paid much attention. Existing CLIR approaches based on query …

Query suggestion aims to suggest relevant queries for a given query, which helps users
better specify their information needs. Previous work on query suggestion has been limited …

For cross language information retrieval (CLIR) based on bilingual translation dictionaries,
good performance depends upon lexical coverage in the dictionary. This is especially true …