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If a homonym is detected in a sentence to be translated, the translator presents various interpretations for a homograph found in an input sentence. Users can choose a specific meaning and receive the retranslated sentence associated with their selected sense. Each sense is represented as a clear image on the translation result screen. [5]
Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] 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. [ 12 ]
The Dandy King: Joachim Murat, the French King of Naples. Regarding the existence and the political and cultural functions of the dandy in a society, in the essay L'Homme révolté (1951), Albert Camus said that: The dandy creates his own unity by aesthetic means. But it is an aesthetic of negation.
Dude" may have derived from the 18th-century word "doodle", as in "Yankee Doodle Dandy". [6] In the popular press of the 1880s and 1890s, "dude" was a new word for "dandy"—an "extremely well-dressed male", a man who assigned particular importance to his
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.
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .
The word "fop" is first recorded in 1440 and for several centuries just meant a fool of any kind; the Oxford English Dictionary notes first use with the meaning of "one who is foolishly attentive to and vain of his appearance, dress, or manners; a dandy, an exquisite" in 1672. [2]
A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
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