PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
November 1, 2012ACM Computing Surveys702 citationsOpen Access

Translation techniques in cross-language information retrieval

View Full Paper
DZDong ZhouGuangdong University of Foreign StudiesMTMark TruranTeesside UniversityTBTim BrailsfordAustralian National University

Key Points

Key points are not available for this paper at this time.

Abstract

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 within those documents. Unlike IR, CLIR must reconcile queries and documents that are written in different languages. The usual solution to this mismatch involves translating the query and/or the documents before performing the search. Translation is therefore a pivotal activity for CLIR engines. Over the last 15 years, the CLIR community has developed a wide range of techniques and models supporting free text translation. This article presents an overview of those techniques, with a special emphasis on recent developments.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhou et al. (2012) studied this question.

synapsesocial.com/papers/6a0aca5e48609dcc0aaca81dhttps://doi.org/10.1145/2379776.2379777
Ask AI
Helpful
Bookmark
Share
View Full Paper