'Cross-Border and Multilingual Search: Architecture and Deployment for Cross-Language Retrieval'
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Summary: Cross-border search is not solved by translating the query once: tokenization, morphology, character normalization and word order all change what gets recalled. The workable architecture has three layers - language-specific analysis, vector alignment and localized ranking - and dropping an…
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- 2026-10-24 08:51 · DEV Community — AI
'Cross-Border and Multilingual Search: Architecture and Deployment for Cross-Language Retrieval'