Cross-Language Semantic Search Using OpenAI Embedding

Embeddings generated by the OpenAI embedding model for sentences that have similar semantic information (topics) are highly similar, regardless of whether they are written in English, Chinese, or Japanese. Utilizing this phenomenon, we implemented a cross-language semantic search system using OpenAI embeddings and evaluated its search accuracy. As a result, we verified that cross-language search in this semantic search system has a high search accuracy, almost equal to that of monolingual search. We confirmed that cross-language search for queries containing the logical operators AND, OR, and NOT works well. We also compared the search accuracy of a monolingual semantic search system using Japanese embeddings generated by a simple contrastive learning framework with that of a system using OpenAI embeddings.

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Publication Details

Published
2025-08-07
DOI
https://doi.org/10.1109/acdsa65407.2025.11165861
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

Cross-Language Semantic Search Using OpenAI Embedding

Akira Sakai, Yoshihiro Adachi, Minoru Uehara
1 citations
Natural Language Processing Techniques
2.48
article

Cross-Language Semantic Search Using OpenAI Embedding

Akira Sakai, Yoshihiro Adachi, Minoru Uehara
article en
1 citations

Abstract

Embeddings generated by the OpenAI embedding model for sentences that have similar semantic information (topics) are highly similar, regardless of whether they are written in English, Chinese, or Japanese. Utilizing this phenomenon, we implemented a cross-language semantic search system using OpenAI embeddings and evaluated its search accuracy. As a result, we verified that cross-language search in this semantic search system has a high search accuracy, almost equal to that of monolingual search. We confirmed that cross-language search for queries containing the logical operators AND, OR, and NOT works well. We also compared the search accuracy of a monolingual semantic search system using Japanese embeddings generated by a simple contrastive learning framework with that of a system using OpenAI embeddings.

Toyo University (JP), Soraa (United States) (US)
Openalex Percentile: Top 8%
Natural Language Processing Techniques
2.48
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Cross-Language Semantic Search Using OpenAI Embedding — Akira Sakai, Yoshihiro Adachi, et al. · (2025) | TGRS Research Map | TGRS