The downside and probably frustrating point regarding the Cloud Translation API is that there is no option for free API usage even for a limited number of requests, so charges apply and developers have to pay even to try it out. In order to perform web requests we will write a small method that will do all the “magic” a bit later, so any dark points will be cleared out. Don’t worry, you don’t have to be a master on these so you can understand what we will do in this post. Of course, that means that you have a basic understanding about RESTful services, web requests, what a request or a response is, HTTP methods, and other related concepts. However, that’s not going to be much of a problem for us here as we will be based on the REST APIs it also offers, so we will be doing web requests in order to achieve any of the above. Google offers client libraries for integration into projects, but not for iOS.
Supported languages: A list of all languages supported for translation.Language detection: Useful feature when source language is unknown or it must be detected automatically.Text translation: Translating some text from a source language to a target language.What we’ll discuss about will focus on three different kind of services that Google provides with Translation API: To make it clear, we won’t train any model, it’s totally out of our scope.
In this post we are going to learn how to use the Google Translation API so we can support and provide realtime translation in our apps. And as we will find out soon in this tutorial, translation is fast, accurate, and of high-quality.
Google provides pre-trained models for translation, but custom models can be trained as well. The list of supported languages is long and it’s getting longer over time. One of the several services and APIs that developers can use from Google is the Cloud Translation API, which offers the ability to perform machine learning (ML) based translations of any string into any supported language.
0 kommentar(er)
