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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
The authors found that English remained at 45 percent of content for 2005 to the end of the study but believe this was due to the bias of search engines indexing more English-language content rather than a true stabilization of the percentage of content in English on the World Wide Web. [2] The number of non-English web pages is rapidly expanding.
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE.The translating system was first developed within Linguee and launched as entity DeepL.
的士(dik1 si2, has no direct meaning, translated according to the English pronunciation.) vs 出租車(chū zū chē, meaning cars for renting.), translated from Taxi. 巴士(baa1 si2, has no direct meaning, translated according to the English pronunciation.) vs 公車(gōng chē, meaning public cars.), translated from Bus.
If a homonym is detected in a sentence to be translated, the translator presents various interpretations for a homograph found in an input sentence. Users can choose a specific meaning and receive the retranslated sentence associated with their selected sense.
There is no technical way to tell these encodings apart and recognizing them relies on identifying language features, such as letter frequencies or spellings. Due to the unreliability of heuristic detection, it is better to properly label datasets with the correct encoding. See Character encodings in HTML#Specifying the document's character ...