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Effortlessly translate English to Hindi with QuillBot's powerful and user-friendly free AI translation tool. Get accurate results instantly. Try it now!
Drag and drop to translate PDF, Word (.docx), and PowerPoint (.pptx) files with our document translator. Click the microphone to translate speech. Click on a word to look it up. Fix grammar and punctuation mistakes, rephrase sentences, express nuances, and find your perfect tone of voice.
Translate. Google's service, offered free of charge, instantly translates words, phrases, and web pages between English and over 100 other languages.
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- Google Translate. There’s hardly anyone who hasn’t heard of it: Google Translate has been integrated into nearly every product in the Google ecosystem and has achieved high-quality results—not only for the most common language pairs but also for less popular ones.
- DeepL. The wunderkind of machine translation software, DeepL, was launched in 2017 to further develop Linguee, the world’s largest database of human translations.
- Systran Translate. Systran is the first company ever to offer machine translation for commercial purposes. Founded in 1968, it keeps following the latest technologies and introducing some interesting innovations itself—the latest being pure neural machine translation (PNMT).
- Microsoft Translator. Much like Google Translate, Microsoft Translator is integrated into Microsoft’s own search engine, Bing. Moreover, many Microsoft products now include the possibility to translate documents (Office), messages (MS Teams, Skype), or posts (LinkedIn) between 90 languages and dialects using their home-brewed MT system—also based on the newest neural network technology with an attention-based model.
Lingvanex introduces a FREE Online translator that instantly translates from English to Hindi or from Hindi to English! Our Lingvanex translator works using machine translation technology, which is the automatic translation of text using artificial intelligence, without human intervention.
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Nov 4, 2021 · Machine Translation is undoubtedly one of the most worked upon problems in Natural Language Processing since the inception of research in the domain. Through this tutorial, we shall explore an Encoder-Decoder NMT model employing LSTM.