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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 ...
The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.
Apertium wiki (list of language pairs and licence information) Xerox Easy Translator Service (list of language pairs) Bing Translator Language List. Haitian Creole support in Bing/Microsoft Translator. Microsoft Research: Syntactically Informed Phrasal SMT. List of supported languages in Google Translate. Part of on.
Google Dictionary. Google Dictionary is an online dictionary service of Google that can be accessed with the " define " operator and other similar phrases [ note 1] in Google Search. [ 2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press 's Oxford Languages ...
Kural translations by language. v. t. e. Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical.
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Machine translation (MT) is a process whereby a computer program analyzes a source text and, in principle, produces a target text without human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. [ 97]
The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation. Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives. Cons. Accuracy may not be sufficient for all uses, and human translation is still more accurate.