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Ishara ya Kutafsiri Mafaili
Andaa akaunti ya bure ya kutafsiri hati, maelezo madogo - madogo, na zaidi.
Fanyeni Ishara kwa Hiari LoginJinsi ya Kutafsiri CALAMANI Kwa Ajili ya 1725
1
Fungua Maandishi Yako
Type or paste your text into the input box above.
2
Click Translate
Bonyeza kidude cha Translate au tu unasubiri utafsiri wa magari baada ya kuacha kupiga chapa.
3
Nakili Tafsiri Yako
Tafsiri yako ya BARtarplagelattitoka mara moja. Bonyea kitufe cha nakala ili kiinakili kwenye ubao wako, au kivyeyu kupitia API yetu.
Alama za Kawaida
Bonyeza fungu lolote la maneno ili kulitafsiri mara moja.
Tafsiri ya Papo Hapo
Tafuta tafsiri za lugha ya Kiingereza katika lugha ya Kicondicothesia.
Utegemezo wa Hati
Ubebaji Neno, PDF, maelezo madogo - madogo ya SRT na mengine zaidi kwa ajili ya tafsiri ngumu.
Anuani ya API
Chunguza tafsiri hii katika programu yako kwa uangalifu zaidi pamoja na REST API.
LALAMIKO LA KUANGIA
Ongeza fomu hizi za tafsiri kwenye ombi lako kwa kutumia njia rahisi ya API kupiga simu.
Mwono API Docs Pata Ufunguo wa 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": "ko"}'Kuhusu Tafsiri ya[5] Sh.[15]
TranslateAPI huandaa tafsiri sahihi na ya haraka kwa lugha ya Kiingereza iitwayo BACN) kwa ajili ya tafsiri inayoendeshwa na shirika la AI. Huduma zetu zinaunga mkono:
- Tafsiri ya Maandiko - Fungua maandishi yoyote kufikia herufi 10,000 mara moja
- Document Translation - Pakua Neno, PDF, na faili za maandishi ili zitafsiriwe
- Uhamaji wa API - Ongezea tafsiri ya Kiingereza ya jw.25 kwa ajili ya programu yako
- Tafsiri ya Banch - Kutafsiri maandiko mengi katika ombi moja
Tumia Kesi:
- Translate BAMBAGORES (Kethesi) kwa ajili ya biashara
- Tovuti za eneo hilo na programu kutoka kwenye kituo cha mawasiliano cha Southamptontory Bradton
- GOGOREA Cylider Cyliders to NCattage 178
- Wasiliana na wasemaji Wazungumzaji Wayo 178 - 171
Ngazi ya Kutafsiri
- Chanzo
- Kichina (
zh) - Shabaha
- Kikorea (
ko)
Maswali Ambayo Watu Huuliza Mara Nyingi
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 Korean, 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 Korean, 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 Korean. 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.