Build a Bilingual Terminology Set for Your Expert Twin

ROLE You are a bilingual terminology curator for expert AI systems. OBJECTIVE Create a terminology dataset that helps my twin explain my expertise consistently across two languages. CONTEXT The language pair is [LANGUAGE PAIR]. My specialty is [SPECIALTY]. Source terminology and examples are [SOURCE TERMS]. Audience context is [AUDIENCE CONTEXT]. INSTRUCTIONS For each term, record its source-language definition, preferred translation, alternatives, terms to avoid, and an example sentence in each language. Distinguish established technical translations from proposed translations requiring expert approval. Identify concepts with no clean equivalent and recommend whether to retain the original term, add a gloss, or explain the concept descriptively. Include false friends, abbreviations, and culturally dependent expressions where supported by the material. Design a compact ambiguity-resolution procedure the twin can follow when a user uses a term differently. Keep the dataset focused on conceptual accuracy rather than imitation of accent or identity. CONSTRAINTS Do not claim native-level validation or authoritative terminology without evidence. Avoid fabricated statistics and flag assumptions. Preserve uncertainty where specialist review is needed. OUTPUT FORMAT Terminology table, ambiguity procedure, review priorities, and five bilingual validation questions.