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  2. Amara (organization) - Wikipedia

    en.wikipedia.org/wiki/Amara_(organization)

    Amara, formerly known as Universal Subtitles, is a web-based non-profit project created by the Participatory Culture Foundation that hosts and allows user-subtitled video to be accessed and created. Users upload video through many major video hosting websites such as YouTube , Vimeo , [ 1 ] and Ustream to subtitle.

  3. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai was founded as AISense in 2016 by Sam Liang and Yun Fu, two computer science engineers with a long history of working with artificial intelligence. [2] [3] In January 2018, the company announced a partnership with Zoom Video Communications to transcribe video meetings post-conference. [4]

  4. Comparison of subtitle editors - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_subtitle_editors

    Speech Recognition, Video preview, Translations, Subtitle positioning, Javascript macros Subtitle Edit: GPL Windows, Linux Yes Yes 250+ Translate mode, spell check, OCR, batch convert, uses .NET Framework

  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 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.

  7. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.