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  2. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  3. Google Keep - Wikipedia

    en.wikipedia.org/wiki/Google_Keep

    Google Keep is available as a web application as well as mobile app for Android and iOS. The app offers a variety of tools for taking notes, including texts, lists, images, and audio. Text from images can be extracted using optical character recognition and voice recordings can be transcribed. The interface allows for a single-column view or a ...

  4. Google Docs - Wikipedia

    en.wikipedia.org/wiki/Google_Docs

    Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google. Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS .

  5. Language documentation tools and methods - Wikipedia

    en.wikipedia.org/wiki/Language_documentation...

    It automatizes the classic procedure for recording audio and video pronunciation files (for spoken and signed languages). Once the recording is done, the platform automatically uploads clean, well cut, well named and apps-friendly files, directly to Wikimedia Commons (it is possible to download datasets for a specific language). Maus ...

  6. Document AI - Wikipedia

    en.wikipedia.org/wiki/Document_ai

    Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial.

  7. Transfer-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Transfer-based_machine...

    One of the main features of transfer-based machine translation systems is a phase that "transfers" an intermediate representation of the text in the original language to an intermediate representation of text in the target language. This can work at one of two levels of linguistic analysis, or somewhere in between. The levels are:

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  9. Language resource - Wikipedia

    en.wikipedia.org/wiki/Language_resource

    data, i.e. "any information that documents or describes a language, such as a published monograph, a computer data file, or even a shoebox full of handwritten index cards. The information could range in content from unanalyzed sound recordings to fully transcribed and annotated texts to a complete descriptive grammar", [2]

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    related to: google docs recording to text transfer