Cross-Lingual Information Retrieval Systems

Michael Johnson; Ayşe Yılmaz; Hans Müller; Yuki Tanaka; Elena Petrova

doi:10.2805/ojsdemo.160

Authors

Michael Johnson Massachusetts Institute of Technology, USA 0000-11600-23200-34800
Ayşe Yılmaz Istanbul Technical University, Turkey 0000-11601-23202-34803
Hans Müller Technical University of Munich, Germany 0000-11602-23204-34806
Yuki Tanaka University of Tokyo, Japan 0000-11603-23206-34809
Elena Petrova Moscow State University, Russia 0000-11604-23208-34812

10.2805/ojsdemo.160

Abstract

This study investigates this research area using advanced computational methods. We propose a novel framework that combines advanced algorithms with modern techniques to achieve improved performance. The experimental results demonstrate significant improvements, achieving up to 40% enhancement in overall efficiency. Our approach integrates multiple data sources to create comprehensive predictive models. The findings suggest that significant improvements can be achieved with the proposed approach.

Keywords:

machine learning deep learning neural networks artificial intelligence data science

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Cross-Lingual Information Retrieval Systems

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