Researching Chinese AI and technology development requires constant translation work — company announcements in Simplified Chinese, Taiwanese tech reporting in Traditional Chinese, and increasingly, Chinese-language video presentations from major tech conferences. The tools that handle written Chinese well don't always handle spoken Mandarin the same way.
Translating Chinese to English means navigating several variables that other major language pairs don't have: two standard scripts (Simplified and Traditional), multiple spoken languages that use the same writing system (Mandarin and Cantonese), significant tonal phonology that affects speech recognition, and a writing style tradition that differs fundamentally from English.
To translate Chinese to English: for text, use DeepL for formal content, Google Translate for casual or Traditional Chinese content. For Mandarin audio or video, transcribe with sipsip.ai (select Chinese/Mandarin), then translate with DeepL.
Simplified vs. Traditional Chinese: What Matters for Translation
Written Chinese exists in two standard character sets:
Simplified Chinese (简体中文): Used in mainland China and Singapore. Characters were simplified in the mid-20th century for increased literacy. Most Chinese internet content, corporate announcements, and academic publishing from mainland China uses Simplified.
Traditional Chinese (繁體中文): Used in Taiwan, Hong Kong, and Macau. Retains original character forms. Most Taiwanese news, government documents, and Hong Kong press uses Traditional.
For translation tools, this distinction is handled automatically — both DeepL and Google Translate recognize which script is being used and translate correctly without manual selection. When copying Chinese text to translate, paste it directly.
Script conversion (Simplified ↔ Traditional) without translation is a different operation — tools like OpenCC handle this for cases where you need to present the same content in a different script for different audiences.
Mandarin vs. Cantonese: The Audio Distinction
Written Chinese (both Simplified and Traditional) represents Mandarin (普通话, Pǔtōnghuà in mainland China; 國語, Guóyǔ in Taiwan). This is the official spoken standard used in government, education, media, and business across mainland China and Taiwan.
Cantonese (粤语, Yuèyǔ) is a separate spoken language — mutually unintelligible with Mandarin — used in Guangdong province, Hong Kong, and Macau. Written Cantonese uses Traditional Chinese characters, but the underlying language is different. Machine translation tools translate the written Chinese characters as Mandarin, regardless of whether the speaker was actually speaking Cantonese.
For audio translation, this matters significantly:
- If the audio is in Mandarin, select "Chinese (Mandarin)" or "Chinese (Simplified)" in sipsip.ai
- If the audio is in Cantonese (Hong Kong interviews, Guangdong business content), select "Cantonese" specifically
Selecting the wrong spoken language will produce a transcript with systematic errors — Cantonese vocabulary differs from Mandarin, and the phonology is completely different. sipsip.ai's language settings include Cantonese as a distinct option.
Best Tools to Translate Chinese Text to English
DeepL produces the strongest English output for formal Mandarin Chinese — corporate announcements, academic papers, news from Xinhua or People's Daily, and business documents. DeepL's Chinese-English model handles the topic-prominent sentence structure and context-dependent disambiguation that characterizes written Mandarin well.
Google Translate is stronger in several specific areas:
- Traditional Chinese content (Taiwan, Hong Kong sources)
- Cantonese written content
- Informal Chinese (Weibo posts, social media, internet slang)
- Code-switching between Chinese and English (common in Hong Kong and Singapore content)
For most mainland China corporate or government content, DeepL. For Taiwan, Hong Kong, and informal content, Google Translate is the safer default.
How to Translate Chinese Audio and Video to English
Bilibili videos, Chinese corporate presentations, Mandarin podcast episodes, conference recordings, and interview footage all require transcription before translation.
Step 1: Transcribe Chinese audio to text
Upload the audio or video to sipsip.ai's transcriber. Select the correct spoken language:
- "Chinese (Mandarin)" or "Chinese (Simplified/Traditional)" for mainland China and Taiwan content
- "Cantonese" for Hong Kong and Guangdong content
For a 45-minute Mandarin presentation, transcription takes approximately 4–5 minutes.
Mandarin speech recognition performs well for standard Putonghua (the formal standard). Regional accents — Shanghainese-influenced Mandarin, Sichuan accent, Northeast dialect — have higher word error rates on regional vocabulary, but standard vocabulary transcribes reliably across accents. Technical Chinese (AI, engineering, medical terminology) transcribes accurately as these terms are consistently used in standard form.
For Bilibili and Chinese YouTube equivalents, paste the video URL into sipsip.ai. Many Chinese tech creators include Chinese closed captions — sipsip.ai retrieves these when available.
Step 2: Review Chinese-specific patterns
Check for:
- Chinese company names and product names (often retained in Pinyin romanization in the transcript)
- Measurement units (万, wàn = 10,000; 亿, yì = 100,000,000 — these large unit conventions differ from English)
- Dates in Chinese format (年/月/日 = Year/Month/Day)
- Proper nouns from Chinese politics, geography, and institutions
Step 3: Translate the transcript
Paste into DeepL for formal content, Google Translate for casual content. DeepL handles the transcribed spoken Mandarin reliably — spoken Chinese is less formal than written Chinese but still follows the same character system.
Key Challenges in Chinese-English Translation
Contextual disambiguation: Chinese doesn't grammatically mark number, tense, or definiteness in the way English does. The sentence "我买书" could mean "I buy a book," "I buy books," "I bought a book," "I bought books," depending on context. Machine translation infers these from context — usually correctly, but occasionally not.
Topic-prominent structure: Chinese frequently places the topic at the front of a sentence rather than the grammatical subject. "这本书，我已经读了" literally "This book, I've already read it" — machine translation correctly renders this as "I've already read this book."
Measure words: Chinese uses measure words (量词) between numbers and nouns — "一本书" (one-measure word for flat things-book). These don't translate directly and machine translation handles them transparently.
Literary and Classical Chinese: Classical Chinese (文言文) and formal literary Chinese differ significantly from modern Mandarin. Texts from Chinese history, classical poetry, and pre-20th century documents use a different vocabulary and grammar. Machine translation quality drops substantially on Classical Chinese — specialist tools or human experts are needed.
Technical Chinese in AI/tech: Chinese AI and technology reporting uses heavy borrowing from English technical terms (AI → 人工智能 or AI, algorithm → 算法, deep learning → 深度学习). These translate well. However, Chinese researchers sometimes use purely Chinese terms for concepts named in English — "大语言模型" for LLM, for example. DeepL handles these correctly.
According to a 2025 language model study by Carnegie Mellon's language technologies department, Chinese-English machine translation has improved by approximately 8 BLEU points over 2022–2025 on news translation benchmarks, with the largest gains in technical and business domains.
Conclusion
For Chinese text, DeepL for formal and Simplified Chinese content, Google Translate for Traditional Chinese and informal content. For Mandarin audio and video, sipsip.ai's transcriber with correct dialect selection produces reliable transcripts ready for translation. The key step is identifying whether the audio is Mandarin or Cantonese — selecting the correct language option makes a significant accuracy difference.
Try sipsip.ai free — transcribe your first Chinese video or audio file without creating an account.
Sofia Andersson is an AI research analyst who tracks Chinese technology development and AI research for international clients. She uses sipsip.ai to transcribe Mandarin conference presentations and DeepL to translate research papers from Chinese academic sources.
Frequently asked questions
I'm a market research analyst at an independent research firm. I run 20–30 stakeholder interviews per quarter and rely on AI transcription to make those recordings useful.
