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  2. Reverso (language tools) - Wikipedia

    en.wikipedia.org/wiki/Reverso_(language_tools)

    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.

  3. Glossary of French words and expressions in English

    en.wikipedia.org/wiki/Glossary_of_French_words...

    a class of women of ill repute; a fringe group or subculture. Fell out of use in the French language in the 19th century. Frenchmen still use une demi-mondaine to qualify a woman that lives (exclusively or partially) off the commerce of her charms but in a high-life style. double entendre

  4. Category:Language-learning websites - Wikipedia

    en.wikipedia.org/wiki/Category:Language-learning...

    Social networking language-learning websites (17 P) Pages in category "Language-learning websites" The following 15 pages are in this category, out of 15 total.

  5. Tatoeba - Wikipedia

    en.wikipedia.org/wiki/Tatoeba

    Example sentences are also used as a base for exercises. Charles Kelly and Paul Raine, both EFL teachers in Japan, have developed language learning activities based on sentences curated from the Tatoeba Corpus. [34] [35] Clozemaster is a language self-study program that generates gamified cloze tests from Tatoeba sentence pairs. [36]

  6. Reverso - Wikipedia

    en.wikipedia.org/wiki/Reverso

    Reverso may refer to: Reverso (language tools) , a website specializing in online translation aids and language services Reverso (climbing equipment) , a belay device used in rock-climbing produced by Petzl

  7. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.

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