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  2. Comparison of machine translation applications - Wikipedia

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

    The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

  3. 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%).

  4. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    A 2018 paper by the University of Bologna evaluated the Italian-to-German translation capabilities and found the preliminary results to be similar in quality to Google Translate. [42] In September 2021, Slator remarked that the language industry response was more measured than the press and noted that DeepL is still highly regarded by users. [43]

  5. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Although Google has deployed a new system called neural machine translation for better quality translation, there are languages that still use the traditional translation method called statistical machine translation. It is a rule-based translation method that uses predictive algorithms to guess ways to translate texts in foreign languages.

  6. Evaluation of machine translation - Wikipedia

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

    BLEU was one of the first metrics to report a high correlation with human judgments of quality. The metric is currently one of the most popular in the field. The central idea behind the metric is that "the closer a machine translation is to a professional human translation, the better it is". [8]

  7. Computer-assisted translation - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted_translation

    Computer-assisted translation is a broad and imprecise term covering a range of tools. These can include: Translation memory tools (TM tools), consisting of a database of text segments in a source language and their translations in one or more target languages. [2]

  8. System Mechanic features - AOL Help

    help.aol.com/articles/system-mechanic-features

    Program Accelerator™-This feature uses patented calibration technology to realign program files for the fastest possible access. The result is quicker launching and more responsive performance. All-in-One PC Cleanup - An all-in-one tool. Performs a deep cleaning by safely removing all Windows, internet, and registry junk with one click.

  9. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.