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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. 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.

  4. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    DeepL Translator, which was at the time based on a CNN encoder, was also released in the same year and was judged by several news outlets to outperform its competitors. [ 28 ] [ 29 ] [ 30 ] It has also been seen that OpenAI 's GPT-3 released in 2020 can function as a neural machine translation system.

  5. The German tech company says its newest AI translation models can beat Google, Microsoft, and OpenAI's tech. DeepL, long a leader in translation tech, finally embraces LLMs Skip to main content

  6. Kanwal Naseer - Wikipedia

    en.wikipedia.org/wiki/Kanwal_Naseer

    View a machine-translated version of the Urdu article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.

  7. Hajra Yamin - Wikipedia

    en.wikipedia.org/wiki/Hajra_Yamin

    View a machine-translated version of the Urdu article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.

  8. Jamia Salafia, Faisalabad - Wikipedia

    en.wikipedia.org/wiki/Jamia_Salafia,_Faisalabad

    Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia. Do not translate text that appears unreliable or low-quality. If ...

  9. Muhammad Azeem Barkhiya - Wikipedia

    en.wikipedia.org/wiki/Muhammad_Azeem_Barkhiya

    View a machine-translated version of the Urdu article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.