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Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [ 11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [ 11] The input text had to be translated into English first ...
Language localisation (or language localization) is the process of adapting a product's translation to a specific country or region.It is the second phase of a larger process of product translation and cultural adaptation (for specific countries, regions, cultures or groups) to account for differences in distinct markets, a process known as internationalisation and localisation.
An example is the Tagalog word libre, which is derived from the Spanish translation of the English word free, although used in Tagalog with the meaning of "without cost or payment" or "free of charge", a usage which would be deemed incorrect in Spanish as the term gratis would be more fitting; Tagalog word libre can also mean free in aspect of ...
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This page in a nutshell: The Content translation tool is a beta feature that provides a framework for translating pages from one Wikipedia to another. Both the software and the community expectations for this tool are still under development. The content translation tool assists users in translating existing Wikipedia articles from one language ...
The Microsoft Translator is a cloud-based automatic translation service that can be used to build applications, websites, and tools requiring multi-language support. Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service.
Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia. Do not translate text that appears unreliable or low-quality.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]