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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 21–30 of 68 papers

TitleStatusHype
Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents—0
Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories—0
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval—0
Cross-Lingual Learning-to-Rank with Shared Representations—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—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
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
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