Business people may not be attending international conferences or flying around the world for meetings so much.
Developers can play an integral role in the localization process.
This powers Google Translate, well-known to businesses for their companies or clients.
Localization tools, which drivegreater accuracyin translation mechanics, are also necessary for the translator to work more efficiently.
Before diving into the software weeds, its worth noting alternatives to the Google Translate API route.
Even a tech-savvy non-programmer should be able to implement these solutions.
What does Google offer for translation?
Google is a pioneer in bothmachine languageand machine learningthe two L-words representing two sides of the same coin.
Language needs to be learned, and that learning is achievable by mastery of a natural language.
From that year forward, NMT has been the preferred method of translating.
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Google Translate today supports over 100 languages, several dozen with voice support.
The workflow allows either customized-by-the-client or pre-trained (by Google) inputs.
Googles AutoML Translation will then output your HTML in three separate language files to your Cloud Storage.
Training is key, but the initial model is pre-trained to render 100+ languages.
There is also built-in support Media Translation API, which handles real-time, low latency streaming of audio translations.
The process is essentially three steps: Upload a language pair.
This translation power is not free but the pricing is fair.
Youll need the AutoML service only if you gotta train more language pairs.
The fee for the Translate API is $20 per million characters.
The Media Translation API will set you back $0.068 to $0.084 per minute.
Pay only for what you use, as you use it.
Setting up for Your First Translation
The RESTful Translate API is the easiest way to get started.
Google offers a basic and advanced setup.
you could do this with localization tools, but you could also do it manually.
This variable only applies to the current shell session.
So be sure to double-check the Cloud SDK documentation to ensure the appropriate version of Python is installed.
Usecurlto make your request to thehttps://translation.googleapis.com/language/translate/v2endpoint.
Source and target languages are identified with ISO-639-1 codes.
The query format is plain text.
The samplecurlcommand uses thegcloud auth system-default print-access-tokencommand to get an authentication token.
The response should resemble the following:
Congratulations!
Youve sent your first request to the Cloud Translation API!
Just roll out the library of your choice.
Go to Translation Client Libraries for installation instructions.
you’re free to read the original articlehere.
