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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. Anuvaad (Document Translation Platform) - Wikipedia

   en.wikipedia.org/wiki/Anuvaad_(Document...

   Anuvaad leverages state of the art AI/ML models including NMT, OCR, Layout detection to provide high level of accuracy. Project Anuvaad was envisioned to be end to end open sourced solution for document translation across multiple domains.

4. Neural machine translation - Wikipedia

   en.wikipedia.org/wiki/Neural_machine_translation

   This dataset can contain documents in many languages, but is in practice dominated by English text. [36] After this pre-training, they are fine-tuned on another task, usually to follow instructions. [39] Since they are not trained on translation, they also do not feature an encoder-decoder architecture.

5. Reverso (language tools) - Wikipedia

   en.wikipedia.org/wiki/Reverso_(language_tools)

   Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.

6. 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 ]

7. Google Neural Machine Translation - Wikipedia

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

   Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.