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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. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    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]

  4. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.

  5. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is not as reliable as human translation. When text is well-structured, written using formal language, with simple sentences, relating to formal topics for which training data is ample, it often produces conversions similar to human translations between English and a number of high-resource languages.

  6. Glossary of French words and expressions in English

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

    "French words within complete sentences, text + audio files". parisbypod.com. Archived from the original on April 14, 2008; Mathematical Words: Origins and Sources (John Aldrich, University of Southampton) See Section on Contribution of French.

  7. BLEU - Wikipedia

    en.wikipedia.org/wiki/BLEU

    BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.

  8. Evaluation of machine translation - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_machine...

    A round-trip translation is not testing one system, but two systems: the language pair of the engine for translating into the target language, and the language pair translating back from the target language. Consider the following examples of round-trip translation performed from English to Italian and Portuguese from Somers (2005):

  9. Homophonic translation - Wikipedia

    en.wikipedia.org/wiki/Homophonic_translation

    Homophonic translation renders a text in one language into a near-homophonic text in another language, usually with no attempt to preserve the original meaning of the text. For example, the English "sat on a wall" / ˌ s æ t ɒ n ə ˈ w ɔː l / is rendered as French " s'étonne aux Halles " [setɔn o al] (literally "gets surprised at the ...

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