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Google Translate is a web-based free-to-user 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 service. [11] The input text had to be translated into English first before ...
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.
Computer-aided translation ( CAT ), also referred to as computer-assisted translation or computer-aided human translation ( CAHT ), is the use of software, also known as a translator, to assist a human translator in the translation process. The translation is created by a human, and certain aspects of the process are facilitated by software ...
Google LLC The Google logo used since 2015 Google's headquarters, the Googleplex Formerly Google Inc. (1998–2017) Company type Subsidiary Traded as NASDAQ: GOOGL, GOOG Industry Internet Cloud computing Computer software Computer hardware Artificial intelligence Advertising Founded September 4, 1998 ; 25 years ago (1998-09-04) [a] in Menlo Park, California, United States Founders Larry Page ...
Languages features comparison. The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
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.
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]
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