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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 26–50 of 68 papers

TitleStatusHype
What Set of Documents to Present to an Analyst?—0
Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context—0
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval—0
CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
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
HunOr: A Hungarian---Russian Parallel Corpus—0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation—0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations—0
Learning Cross-Lingual IR from an English Retriever—0
Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora—0
Learning to Translate: A Query-Specific Combination Approach for Cross-Lingual Information Retrieval—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Machine Translation Impact in E-commerce Multilingual Search—0
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement—0
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval—0
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