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  2. 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.

  3. 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]

  4. Google Neural Machine Translation - Wikipedia

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

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  5. Arabic machine translation - Wikipedia

    en.wikipedia.org/wiki/Arabic_machine_translation

    Arabic is one of the major languages that have been given attention by machine translation (MT) researchers since the very early days of MT and specifically in the U.S. The language has always been considered "due to its morphological, syntactic, phonetic and phonological properties [to be] one of the most difficult languages for written and spoken language processing."

  6. Jais (language model) - Wikipedia

    en.wikipedia.org/wiki/Jais_(language_model)

    Its training dataset consisted of Arabic and English, some containing computer code. [ 1 ] [ 3 ] According to Timothy Baldwin, provost, and professor of natural language processing at MBZUAI, training the model on a diverse Arabic dataset allows it to switch between dialects.

  7. English-Arabic Parallel Corpus of United Nations Texts

    en.wikipedia.org/wiki/English-Arabic_Parallel...

    The EAPCOUNT comprises 341 texts aligned on a paragraph basis, which means texts in English along with their translational counterparts in Arabic. It consists of two subcorpora; one contains the English originals and the other their Arabic translations. As for the English subcorpus, it contains 3,794,677 word tokens, with 78,606 word types. The ...