Ho fetolela Sechaena ho Japane
ZH JA
Liphetho tse potlakileng
API e fumanehang
Ho fetolela...
Ho fetoleloa ho tla hlaha mona...
Ngola ho fetolela lifaele
Theha ak'haonte ea mahala ho fetolela litokomane, li-subtitles, le tse ling.
Ikopanye le rona Ho kenaHo fetolela Chinese ho Japanese joang
1
Ngola mongolo oa hau
Tobetsa kapa tobetsa mongolo oa hau oa Chinese ka lebokoseng la ho kenya ka holimo. U ka kenya ho fihlela ho li-characters tse 10,000, kapa u romelle faele ea kopo.
2
Tobetsa ho fetolela
Tobetsa konopo ea Ho fetolela kapa o tlama feela - ho fetolela habonolo ho qala ka mor'a hore o se ke oa ngola. AI e sebetsana le mongolo oa hau ka li-milliseconds.
3
Kopa ho fetolela ha hao
The Japanese translation appears instantly. Click the copy button to copy it to your clipboard, or integrate via our API.
Litlhaku tse tloaelehileng tsa Chinese
Tobetsa lentsoe leha e le lefe ho e fetolela kapele.
Ho fetolela kapele
Fumana liphetoho ho Chinese ho Japanese ka li-milliseconds.
Tšehetso ea litokomane
Tlosa lihlooho tsa Word, PDF, SRT le tse ling bakeng sa ho fetoleloa ha batch.
Ho fihlella API
Integration ena e fetoletsoeng pakeng tsa li-apps tsa hau ka REST API ea rona.
Chinese ho Japanese API
E-na le moo, eketsa sena ho li-application tsa hau ka ho ngola API e bonolo.
Bona litokomane tsa API Fumana konopo APIcurl -X POST https://api.translateapi.ai/api/v1/translate/ \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"text": "Hello", "source_language": "zh", "target_language": "ja"}'Ka Chinese ho Japanese
TranslateAPI e fana ka ho fetolela ho potlakileng le ho nepahala ho Chinese ho Japanese e matlafatsoang ke AI e tsoetseng pele. Tšebeletso ea rona e tšehetsa:
- Ho fetolela mongolo - Tlosa mongolo leha e le ofe ho fihlela ho li-characters tse 10,000 kapele
- Ho fetolela litokomane - Tlosa faele ea Word, PDF, le ea mongolo bakeng sa ho fetolela
- Ho kenyelletsoa ha API - Ho eketsa ho fetoleloa ho Chinese ho Japanese ho li-apps tsa hau
- Ho fetolela - Ho fetolela litokomane tse ngata ka kopo e le 'ngoe
Kakaretso:
- Ho fetolela litokomane tsa Chinese ho Japanese bakeng sa khoebo
- Sebelisa sebaka sa marang-rang le li-apps ho tloha Chinese ho ea Japanese
- Ho fetola lihlooho tsa Chinese ho Japanese
- Buisana le Japanese ba buang
Ho fetolela
- Mofuta
- Sechaena (
zh) - Target
- Japane (
ja)
Lipotso tse botsoang khafetsa
CJK ↔ CJK translation (Chinese ↔ Japanese ↔ Korean) is one of the strongest areas in modern neural machine translation because the three languages share a large vocabulary of Sino-loanwords. Expect 92-95% professional-grade accuracy for Chinese to Japanese, with the largest residual errors in idiomatic or culturally-specific phrasing.
Yes — Japanese kango (Sino-Japanese), Korean Hanja-origin words, and Chinese hanzi often share a written form. The model exploits this by aligning Sino-loanwords across the pair, which is why CJK ↔ CJK quality often beats CJK ↔ English on technical content.
Output script follows the standard convention for the target: simplified Chinese for zh (use zh-TW for traditional), modern Japanese mixed-script for ja, pure Hangul for ko (Hanja is added only when context requires it). Override via the explicit target code if you need a different convention.
Ateji (kanji used phonetically rather than for meaning) are translated to the closest semantic equivalent in Japanese, not transliterated. Hanja in Korean source text are read by their Korean pronunciation before translation.
All three CJK languages have rich honorific systems but they don't align one-to-one. Korean has the deepest distinction (반말, 해요체, 합니다체); Japanese splits into desu/masu plain, sonkeigo (elevated), and kenjōgo (humble); Mandarin Chinese encodes politeness mostly through word choice rather than verb morphology. The model picks a sensible default per target; for matched levels, hint in the source.
East Asian personal names use Last-First order and stay in that order through CJK ↔ CJK translation. Hanzi / kanji names are converted to the target language's reading (e.g. Chinese 王偉 → Japanese 王偉 with the on-yomi reading "Ō I"; Korean reading via the Sino-Korean equivalent). Western names stay in their romanized form.
Place names use the local-standard spelling: Tokyo as 東京 in Japanese, 도쿄 in Korean, 东京 in simplified Chinese. The model knows the alignment table so cross-script place names stay recognizable.
All three CJK languages have a classical register (wenyan for Chinese, bungo for Japanese, hanmun for Korean) used in poetry, legal text, and historical context. The model translates classical source text by first rendering modern paraphrase, then applying the target's classical conventions where appropriate.
No spaces in Chinese or Japanese source text means the model must segment internally. Modern subword tokenizers (BPE / SentencePiece) handle this without an explicit segmentation pass. Korean uses spaces but with looser conventions than English; the model normalizes spacing on the output side.
✓ ✗ 〇 × 三 ★ ⭐ — common East-Asian symbol marks (especially 〇 / × for yes/no on forms) are preserved across Chinese and Japanese. Standard Unicode emojis pass through unchanged.
Yes — Chinese, Japanese, and Korean conventionally use full-width punctuation (。 ， 、 「」 『』 （）). The output for any CJK target uses full-width forms, switching to half-width inside Latin / Western quoted strings.
For CJK ↔ CJK, paragraph-level chunks (500-1500 characters) get the best discourse-level quality because the model preserves cross-sentence references and topic-comment structure within a chunk. The hard limit is 10,000 characters per web request, 50,000 per API call.