Enhancing multilingual information retrieval: The efficacy of hybrid approaches

Junhui Hu

doi:10.54254/2755-2721/69/20241486

Research Article

Open access

Published on 23 July 2024

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Hu,J. (2024). Enhancing multilingual information retrieval: The efficacy of hybrid approaches. Applied and Computational Engineering,69,97-102.

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Enhancing multilingual information retrieval: The efficacy of hybrid approaches

Junhui Hu *^,1,

¹ Shandong University, Shandong, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/69/20241486

Abstract

Multilingual Information Retrieval (MLIR) plays a crucial role in accessing information across different languages. This paper explores various techniques and tools used in Cross-Language Information Retrieval (CLIR), focusing on query translation, document translation, and hybrid approaches. Query translation employs bilingual dictionaries and machine translation systems to convert user queries from one language to another, whereas document translation involves translating documents into the query language for indexing and retrieval. Hybrid approaches combine these methods to optimize retrieval performance, leveraging the strengths of both to address their individual limitations. Our comparative analysis shows that hybrid systems consistently outperform standalone query or document translation systems, achieving higher precision, recall, and user satisfaction. For instance, hybrid systems in multilingual legal document retrieval tasks achieved precision rates of 88%, recall rates of 82%, and an F1 score of 0.85. These results underscore the effectiveness of hybrid approaches in handling the complexities of MLIR, providing more accurate and comprehensive retrieval outcomes. This study highlights the practical benefits of hybrid CLIR systems and suggests directions for future research in enhancing multilingual access to information.

Keywords

Multilingual Information Retrieval, Cross-Language Information Retrieval, Query Translation, Document Translation

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References

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Cite this article

Hu,J. (2024). Enhancing multilingual information retrieval: The efficacy of hybrid approaches. Applied and Computational Engineering,69,97-102.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://www.confcds.org/

ISBN：978-1-83558-459-0(Print) / 978-1-83558-460-6(Online)

Conference date: 12 September 2024

Editor：Alan Wang, Roman Bauer

Series: Applied and Computational Engineering

Volume number: Vol.69

ISSN：2755-2721(Print) / 2755-273X(Online)

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