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Cross-Lingual Information Retrieval

Cross-Lingual Information Retrieval (CLIR) is a retrieval task in which search queries and candidate documents are written in different languages. CLIR can be very useful in some scenarios. For example, a reporter may want to search foreign language news to obtain different perspectives for her story; an inventor may explore the patents in another country to understand prior art.

Papers

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Showing 31–40 of 68 papers

TitleStatusHype
Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories—0
Cross-Lingual Learning-to-Rank with Shared Representations—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Domain Transfer based Data Augmentation for Neural Query Translation—0
Evaluating Machine Translation in Cross-lingual E-Commerce Search—0
Evaluating Translation Quality and CLIR Performance of Query Sessions—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Findings of the 2014 Workshop on Statistical Machine Translation—0
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap—0
HindiWSD: A package for word sense disambiguation in Hinglish & Hindi—0
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