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  2. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    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. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.

  3. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    In the translation task, a sentence =, (consisting of tokens ) in the source language is to be translated into a sentence =, (consisting of tokens ) in the target language. The source and target tokens (which in the simple event are used for each other in order for a particular game ] vectors, so they can be processed mathematically.

  4. 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.

  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. Grammarly - Wikipedia

    en.wikipedia.org/wiki/Grammarly

    [17] [18] Additionally, the company paid the salaries of Ukrainians who left their jobs at Grammarly to join the nation's army [19] and made its product free for Ukrainian journalists publishing news about the war in English. [17] In April 2023, Grammarly launched a product using generative AI built on the GPT-3 large language models. [20]

  7. Spell checker - Wikipedia

    en.wikipedia.org/wiki/Spell_checker

    Spell checkers can use approximate string matching algorithms such as Levenshtein distance to find correct spellings of misspelled words. [1] An alternative type of spell checker uses solely statistical information, such as n-grams, to recognize errors instead of correctly-spelled words. This approach usually requires a lot of effort to obtain ...

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