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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]
When Chrome detects a foreign language other than the user's preferred language set during the installation time, it asks the user whether or not to translate. Chrome allows users to synchronize their bookmarks, history, and settings across all devices with the browser installed by sending and receiving data through a chosen Google Account ...
The primary feature of Project Naptha is the text detection function. Running on an algorithm called the “Stroke Width Transform, developed by Microsoft Research in 2008, [7] it provides the capability of identifying regions of text in a language-agnostic manner and detecting angled text and text in images. This is done by using the width of ...
The dictionary content is licensed from Oxford University Press's Oxford Languages. [3] It is available in different languages, such as English, Spanish and French. The service also contains pronunciation audio, Google Translate, a word origin chart, Ngram Viewer, and word games, among other features for the English-language version.
Accented letters: â ç è é ê î ô û, rarely ë ï ; ù only in the word où, à only at the ends of a few words (including à).Never á í ì ó ò ú.; Angle quotation marks: « » (though "curly-Q" quotation marks are also used); dialogue traditionally indicated by means of dashes.
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.
Another technique, as described by Cavnar and Trenkle (1994) and Dunning (1994) is to create a language n-gram model from a "training text" for each of the languages. These models can be based on characters (Cavnar and Trenkle) or encoded bytes (Dunning); in the latter, language identification and character encoding detection are integrated ...
Reverso has also released browser extensions for Chrome and Firefox to incorporate features of Reverso Context into web browsing. [15] Reverso's website also provides collaborative bilingual dictionaries between various pairs of languages, which use crowd sourcing to allow users to submit new entries and provide feedback. It also has tools for ...