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Meanwhile, Google Cloud AI Translate is designed to handle large translation

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發表於 2024-2-20 12:28:31 | 只看該作者 回帖獎勵 |正序瀏覽 |閱讀模式
本帖最後由 Sathi568 於 2024-2-20 12:36 編輯

Target Users Google Translate is designed for individual users who want to translate text, documents, or communicate in different languages ​​directly through the Google Translate website or mobile app. Meanwhile, Google Cloud AI Translate is designed for developers and businesses who want to integrate automatic translation into their apps or services on Google Cloud Platform (GCP). Scalability Google Translate is designed for people with small translation volumes. requests and can be tailored to users' needs. Supported languages Google.


Translate supports around 109 languages, including popular WhatsApp Number List languages, but covers a more limited number of available languages ​​compared to Google Cloud AI Translation. Because Google Cloud AI Translation supports up to 135 wide languages, including popular ones and some less common ones. Accuracy In terms of accuracy, Google Translate uses various translation methods, including statistical translation and neural machine translation. Statistical translation is based on statistical analysis of previously translated pairs of sentences.






This method can provide good translations for general needs. Meanwhile, Google Cloud AI Translation is capable of delivering more accurate results using more sophisticated neural machine translation techniques. However, it is important to note that translation accuracy can still be influenced by factors such as the quality of the training data, language coverage, and the level of complexity of the translated text. Functionality In terms of functionality, Google Translate provides direct translation of texts, documents or everyday conversations. In addition, it also has speech-to-text and text-to-voice recognition features, as well as automatic web page translation capabilities.

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