In vertical fields such as law, medical care, foreign trade, technology, and engineering, the accuracy of professional terms in AI translation directly determines business compliance, communication effectiveness, and work safety. Term errors may trigger serious problems such as contract disputes, medical accidents, technical misunderstandings, and compliance penalties, causing economic losses and damage to brand reputation. For example, deviations in the translation of terms such as "liability for breach of contract" and "guarantee clause" in legal contracts may lead to contract invalidity; errors in the translation of "lesion location" and "medication dosage" in medical documents may delay diagnosis and treatment; mistakes in the translation of foreign trade technical parameters may lead to product non-compliance and return claims. Therefore, a triple protection mechanism of tool adaptation + custom settings + verification and optimization is needed to build a "precision translation barrier" to ensure the accurate translation of professional terms.
The first layer of protection is to select an industry-specific AI translation tool and lay a precise foundation with a professional term library. The term library of ordinary general-purpose translation tools has a limited coverage and cannot adapt to the needs of vertical fields, while PDF Spark has a built-in in-depth optimized professional term library for multiple industries, covering core fields such as law, medical care, machinery, electronics, foreign trade, chemical industry, and engineering. Each term library has been trained with tens of millions of professional documents and verified by industry experts, with a term accuracy rate of over 95%, far surpassing general translation tools. When uploading a document, users only need to select the corresponding industry (e.g., "Law", "Medical Care", "Machinery"), and the system will automatically prioritize matching the exclusive term library of that industry to avoid deviations caused by general definitions—for example, in foreign trade scenarios, trade terms such as "FOB" and "CIF" are automatically matched with standard translations of Incoterms; in legal scenarios, professional concepts such as "apparent agency" and "bona fide acquisition" are precisely corresponding to legal provisions.
The second layer of protection is the custom term library to adapt to enterprise-specific needs and niche terms. Different enterprises may have internal exclusive terms, industry niche terms, and product-specific names (e.g., models, specifications), or fixed translation expressions for terms, which cannot be fully covered only by the tool’s built-in term library. PDF Spark supports users to create a custom term library, where enterprise internal terms, product models, exclusive clauses, niche industry terms, and corresponding preset translations can be entered in advance. AI translation will automatically identify these terms and apply the preset translations, fundamentally avoiding translation deviations. For example, foreign trade enterprises can enter their own product models and brand-specific expressions; legal institutions can enter special terms in local judicial practice; technology companies can enter core technical terms to ensure the translation results are consistent with enterprise expressions and adapt to the needs of internal collaboration and external communication. It also supports batch import, export, and update of the term library for easy team sharing and maintenance.
The third layer of protection is post-translation verification and optimization with double checking to ensure accuracy. After generating the translation, the tool’s Term Verification function can be used. The system automatically scans the document, checks for suspected incorrect terms and ambiguous expressions, marks differences inconsistent with the built-in and custom term libraries, and allows users to check and correct them one by one; it also supports bilingual comparison preview, with the original and translated texts presented paragraph by paragraph and key terms highlighted for users to quickly locate core terms and manually optimize deviated expressions. For important documents involving core rights and interests and safety compliance, it is recommended to add a human proofreading link focusing on term accuracy and semantic coherence to ensure perfection. In addition, the term library needs to be updated regularly to adapt to the iteration of industry terms and the expansion of enterprise business needs, optimize the translation expressions of custom terms synchronously, and continuously improve translation accuracy based on actual use feedback to build a full-process precision translation system.