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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 11–20 of 68 papers

TitleStatusHype
MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval DatasetCode0
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data OnlyCode0
Cognition-aware Cognate DetectionCode0
Cross-lingual Information Retrieval with BERTCode0
Chinese Characters Mapping Table of Japanese, Traditional Chinese and Simplified Chinese—0
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus—0
A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features—0
Building a Dataset of Multilingual Cognates for the Romanian Lexicon—0
Biomedical Chinese-English CLIR Using an Extended CMeSH Resource to Expand Queries—0
A Study of Neural Matching Models for Cross-lingual IR—0
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