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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 ...
Lens can also use images to identify text and can find results from Google Search or translate the text with Google Translate in augmented reality. [8] Lens is also integrated with the Google Photos and Google Assistant apps. [5] The service originally launched as Google Goggles, a previous app that functioned similarly but with less capability.
In November 2016, Google Neural Machine Translation system (GNMT) was introduced. Since then, Google Translate began using neural machine translation (NMT) in preference to its previous statistical methods (SMT) [1] [16] [17] [18] which had been used since October 2007, with its proprietary, in-house SMT technology. [19] [20]
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Google ( GOOG, GOOGL) took the wraps off of a new prototype pair of augmented reality glasses that can automatically translate speech for wearers that speak different languages. Unveiled during ...
Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...
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]
Neural machine translation. Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [ 1]: 293 [ 2]: 1 and can produce translations that rival ...