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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 1–10 of 68 papers

TitleStatusHype
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Learning Cross-Lingual IR from an English RetrieverCode1
Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
A Study of Neural Matching Models for Cross-lingual IR—0
A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features—0
AyutthayaAlpha: A Thai-Latin Script Transliteration Transformer—0
A Probabilistic Translation Method for Dictionary-based Cross-lingual Information Retrieval in Agglutinative Languages—0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context—0
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