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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]
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 ...
Word Lens was an augmented reality translation application from Quest Visual. [1] Word Lens used the built-in cameras on smartphones and similar devices to quickly scan and identify foreign text (such as that found in a sign or a menu), and then translated and displayed the words in another language on the device's display.
A study in Australia found that reading postmodern picture books led to better text analysis skills for students. [8] Picture books can also improve young children's descriptive vocabulary and reading and drawing behaviors at home. [9] The art element of picture books aids with creativity development and engagement with books. [9]
For example, when pointing the device's camera at a Wi-Fi label containing the network name and password, it will automatically connect to the scanned Wi-Fi network. 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. [9]
In translation, a source text (ST) is a text written in a given source language which is to be, or has been, translated into another language, while a target text (TT) is a translated text written in the intended target language, which is the result of a translation from a given source text.
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 phrase English as she is spoke is nowadays used allusively, in a form of linguistic play, as a stereotypical example of bad English grammar. [14] In January 1864, then US President Abraham Lincoln and Secretary of State William H. Seward laughed as Lincoln's private secretary John Hay read aloud from the book. [15]