Why Cross-Border Search Needs More Than Query Translation

Translating a search query once does not make retrieval work across languages, because tokenization, morphology, character normalization and word order all change what documents get matched. Languages such as Chinese, Japanese and Thai are written without spaces, so whitespace splitting turns whole sentences into single unmatched terms. Inflected languages like German, Russian and Arabic need stemming, or plural and case forms will never match each other. The article proposes a three-layer architecture of language-specific analysis, vector alignment and localized ranking, noting that omitting any layer leaves recall gaps in some languages. It also recommends keeping filters such as currency, dates and compliance rules separate from relevance scoring and measuring effectiveness per language rather than in blended averages.