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  2. Markup language - Wikipedia

    en.wikipedia.org/wiki/Markup_language

    A markup language is a text-encoding system which specifies the structure and formatting of a document and potentially the relationships among its parts. [1] Markup can control the display of a document or enrich its content to facilitate automated processing.

  3. RIS (file format) - Wikipedia

    en.wikipedia.org/wiki/RIS_(file_format)

    RIS is a standardized tag format developed by Research Information Systems, Incorporated (the format name refers to the company) to enable citation programs to exchange data. [1] It is supported by a number of reference managers .

  4. T5 (language model) - Wikipedia

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

    blog.research.google /2020 /02 /exploring-transfer-learning-with-t5.html 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 ...

  5. 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 .

  6. Pandoc - Wikipedia

    en.wikipedia.org/wiki/Pandoc

    Pandoc dubs itself a "markup format" converter. It can take a document in one of the supported formats and convert only its markup to another format. Maintaining the look and feel of the document is not a priority. [5]

  7. File:Student Research using Google Docs Essay Editing.webp

    en.wikipedia.org/wiki/File:Student_Research...

    What links here; Upload file; Special pages; Printable version; Page information; Get shortened URL; Download QR code

  8. Text Encoding Initiative - Wikipedia

    en.wikipedia.org/wiki/Text_Encoding_Initiative

    The Text Encoding Initiative (TEI) is a text-centric community of practice in the academic field of digital humanities, operating continuously since the 1980s. The community currently runs a mailing list, meetings and conference series, and maintains the TEI technical standard , a journal , [ 1 ] a wiki , a GitHub repository and a toolchain .

  9. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]