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Efficient Similarity Indexing for Multilingual Texts

This research explores novel techniques for efficient similarity indexing in multilingual texts, facilitating improved information retrieval and language processing. The study delves into various similarity metrics and indexing approaches relevant across languages, addressing challenges in cross-lingual data analysis. Insights from this work can enhance the performance of multilingual information systems by enabling quick and accurate retrieval of linguistically diverse content. Additionally, the findings contribute to advancing cross-language processing methodologies and boosting the overall effectiveness of multilingual text analysis tools.

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Efficient Similarity Indexing for Multilingual Texts

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  1. Similarity index % 100 50 60 70 80 90 I a b c d e II

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