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  2. Comparison of computer-assisted translation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_computer...

    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%).

  3. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes: Drop-in replacement for Pharaoh, features factored translation models and decoding of confusion networks. Moses for Mere Mortals: Ubuntu Linux: GPL: No fee required: 2014-11-16: Yes: Free open source; based on Moses; translation memories ...

  4. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    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]

  5. craigslist - Wikipedia

    en.wikipedia.org/wiki/Craigslist

    This is an accepted version of this page This is the latest accepted revision, reviewed on 3 January 2025. Classified advertisements website Craigslist Inc. Logo used since 1995 Screenshot of the main page on January 26, 2008 Type of business Private Type of site Classifieds, forums Available in English, French, German, Dutch, Spanish, Italian, Portuguese Founded 1995 ; 30 years ago (1995 ...

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  7. Evaluation of machine translation - Wikipedia

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

    One of the constituent parts of the ALPAC report was a study comparing different levels of human translation with machine translation output, using human subjects as judges. The human judges were specially trained for the purpose. The evaluation study compared an MT system translating from Russian into English with human translators, on two ...

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