如何通过Google Translate API实现直译而非意译(REST API场景)
Got it, let's sort this out for you! The problem here is that you're using the standard translation endpoint, which is built to turn text into its meaningful equivalent in the target language—hence why you're getting "rose" instead of "gulab". What you actually need is transliteration: converting the script of the word without changing what it means.
Here's exactly how to make Google Cloud Translate give you the result you want:
1. Use the Transliterate API endpoint (the right tool for the job)
Instead of calling the translate method, switch to the transliterate endpoint. You just need to specify:
- The source language code (Hindi is
hi) - The target script code (Latin script is
Latn, formatted ashi-Latnfor Hindi-to-Latin transliteration)
Example REST API request body:
{ "contents": ["गुलाब"], "sourceLanguageCode": "hi", "targetLanguageCode": "hi-Latn" }
Full curl example (replace placeholders with your details):
curl -X POST \ -H "Authorization: Bearer YOUR_GCP_ACCESS_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "contents": ["गुलाब"], "sourceLanguageCode": "hi", "targetLanguageCode": "hi-Latn" }' \ "https://translation.googleapis.com/v3/projects/YOUR_PROJECT_ID:transliterate"
This call will directly return gulab—perfect for your use case.
2. A quick note on client libraries
If you're using a code library (like Python, Node.js, etc.) instead of raw REST calls, the approach is similar: use the transliterate method instead of translate. Here's a Python example:
from google.cloud import translate_v3 as translate client = translate.TranslationServiceClient() project_id = "YOUR_PROJECT_ID" parent = f"projects/{project_id}/locations/global" response = client.transliterate( request={ "parent": parent, "contents": ["गुलाब"], "source_language_code": "hi", "target_language_code": "hi-Latn", } ) # Print the result for item in response.transliterations: print(f"Transliterated text: {item.transliterated_text}")
Running this will output exactly gulab.
Final setup check
Make sure you've enabled the Cloud Translation API in your GCP project, and that your API key or service account has the roles/cloudtranslate.user permission (or a higher role that includes transliteration access).
The core issue was mixing up translation (meaning-based conversion) with transliteration (script-based conversion)—now you're using the right tool for the job!
内容的提问来源于stack exchange,提问作者Pranjal Dashora

