Many people assume that simply "converting" Simplified Chinese to Traditional Chinese completes the translation process. In reality, Simplified-to-Traditional conversion merely changes the character forms; whether the content sounds authentic and aligns with the reading habits of Taiwanese or Hong Kong readers is an entirely different matter. This article outlines the six most common issues in Traditional Chinese translation and provides corresponding methods to avoid them.
1. Simplified-to-Traditional Conversion Is Not Translation
Purely machine-based Simplified-to-Traditional conversion performs "word-for-word replacement": changing "软件" to "軟體" or "网络" to "網絡". However, it cannot judge context. Common side effects include one-to-many character mismatches (for example, converting "头发" to "頭髮" is fine, but "发现" must be converted to "發現" rather than "髮現"), as well as retaining Mainland-specific expressions exactly as they are.
The result is text that looks like Traditional Chinese on the surface but reads like "Mainland-accented Traditional Chinese." To Taiwanese and Hong Kong readers, such text immediately gives itself away, negatively impacting professionalism and trust.
Key Concept: Simplified-to-Traditional conversion solves the 'character form' issue, while localization solves 'terminology, linguistic feel, and reading habits.' The latter is where the true value of Traditional Chinese translation lies.
2. The Most Common Pitfall: Terminology Differences
For the same concept, Mainland China, Taiwan, and Hong Kong often have their own preferred terms. Directly adopting Mainland terminology is the most easily spotted mistake in Traditional Chinese translation. Below is a summary of common equivalents:
| Mainland Term | Taiwan Term | Hong Kong Term |
|---|---|---|
| Software (软件) | Software (軟體) | Software (軟件) |
| Information (信息) | Information (資訊) | Information (資訊/信息) |
| Network (网络) | Network (網路) | Network (網絡) |
| Video (视频) | Video (影片) | Video (影片/短片) |
| Print (打印) | Print (列印) | Print (列印/打印) |
| Mouse (鼠标) | Mouse (滑鼠) | Mouse (滑鼠) |
| Quality (质量) | Quality (品質) | Quality (質素) |
| Instant Noodles (方便面) | Instant Noodles (泡麵) | Instant Noodles (即食麵) |
| Taxi (出租车) | Taxi (計程車) | Taxi (的士) |
As the table shows, even though Taiwan and Hong Kong both belong to the Traditional Chinese sphere, their terminology is not always the same. Therefore, Traditional Chinese translation cannot simply target a generic "Traditional Chinese"; it must further distinguish between "Taiwan Traditional Chinese" and "Hong Kong Traditional Chinese" to truly resonate with the readers.
3. Handling Proper Nouns and Brand Names
The translation of personal names, place names, brand names, and product names often varies across the three regions. For instance, the translated names of international brands and film/TV works often have separate official versions in Taiwan and Hong Kong. There are three guiding principles for handling these:
- Prioritize official translations for brand names. Do not transliterate them yourself, and never mix two different versions within the same document.
- Maintain consistency throughout the text when there is no official translation. You can add the original text in parentheses at the first mention, for example, 'Product (Product Name)'.
- Create a reference list for technical terms to ensure unified translations across the entire document, or even the entire project.
4. Differences in Punctuation and Typography Habits
There are also subtle differences in punctuation and typography between Traditional and Simplified Chinese, which are easily overlooked:
- Traditional Chinese typically uses 《》 and 〈〉 for book titles, and 「」 and 『』 for quotation marks, rather than the double quotation mark styles common in Simplified Chinese.
- Whether to add spaces between numbers, English, and Chinese characters varies slightly between publishing habits in Taiwan/Hong Kong and Mainland China; this should be unified according to the target audience.
- The choice between vertical and horizontal writing, as well as the use of full-width and half-width characters, should also be adjusted according to the publishing platform and local conventions.
These may seem trivial, but cumulatively, they significantly affect the 'local feel' of the text.
5. How to Do Traditional Chinese Localization Well
To do Traditional Chinese translation right, relying solely on conversion tools is far from enough. In practice, there are two key aspects:
Building and Maintaining a Glossary
Organize brand names, product names, common terms, and regional terminology preferences into a glossary so that every translation automatically applies the established translations. This fundamentally avoids the issue of 'the same word being translated differently in different paragraphs' and maintains consistency in multi-person collaboration.
Manual Review and Quality Control
While machines are responsible for generating the first draft and ensuring consistency, the final step still requires review by someone familiar with the linguistic feel of the target region. They need to check if the terminology is authentic, the tone is appropriate, and there are no stiff 'conversion traces.' The division of labor between machine and human is a reliable approach to consistently producing high-quality Traditional Chinese translations.
6. The AI + Human Traditional Chinese Translation Solution
DocTransAI is an AI translation workspace tailored for the Traditional Chinese market. When processing Traditional Chinese, users can select target languages for different regions (such as Taiwan Traditional Chinese or Hong Kong Traditional Chinese) and combine this with glossary features to ensure consistent translation of brand names and proper nouns. Document translation preserves the original formatting, making it convenient for manual reviewers to make revisions directly on the results.
Its positioning is not to replace translators, but to hand over tedious and repetitive tasks—such as Simplified-Traditional judgment, terminology replacement, and term alignment—to AI, allowing human effort to focus on the review stage where judgment is most needed. For teams that need to produce large volumes of Traditional Chinese content over the long term, this 'AI foundation, human quality control' workflow is generally more time-efficient and makes it easier to maintain consistent quality.