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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]
The concept of the Ultralingua dictionary software began in 1996, when a small group of professors from Carleton College had the idea of creating a French dictionary that allowed the user to look up words on the fly with drag-and-drop technology, to and from a work in progress. The dictionary program was first developed for the Apple Macintosh ...
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. [3]
A man from Labé, Guinea, speaking Pular and West African French. African French (French: français africain) is the generic name of the varieties of the French language spoken by an estimated 320 million people in Africa in 2023 or 67% of the French-speaking population of the world [1] [2] [3] spread across 34 countries and territories.
Reverso has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.
Afar-English-French dictionary with Grammatical Notes in English. London: School of Oriental and African Studies, University of London. London: School of Oriental and African Studies, University of London.
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.
Users could then review and improve the automatic translation by clicking on the sentence and fixing a translation, or using Google's translation tools to help them translate by clicking the "Show toolkit" button. Users could view translations previously entered by other users in the "Translation search results" tab or use the "Dictionary" tab ...
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